|
a |
|
b/code_final/Bulk_deconvolution_BayesPrism.ipynb |
|
|
1 |
{ |
|
|
2 |
"cells": [ |
|
|
3 |
{ |
|
|
4 |
"cell_type": "code", |
|
|
5 |
"execution_count": 1, |
|
|
6 |
"id": "italian-space", |
|
|
7 |
"metadata": {}, |
|
|
8 |
"outputs": [ |
|
|
9 |
{ |
|
|
10 |
"name": "stderr", |
|
|
11 |
"output_type": "stream", |
|
|
12 |
"text": [ |
|
|
13 |
"Loading required package: snowfall\n", |
|
|
14 |
"\n", |
|
|
15 |
"Loading required package: snow\n", |
|
|
16 |
"\n", |
|
|
17 |
"Loading required package: NMF\n", |
|
|
18 |
"\n", |
|
|
19 |
"Loading required package: registry\n", |
|
|
20 |
"\n", |
|
|
21 |
"Loading required package: rngtools\n", |
|
|
22 |
"\n", |
|
|
23 |
"Loading required package: cluster\n", |
|
|
24 |
"\n", |
|
|
25 |
"NMF - BioConductor layer [OK] | Shared memory capabilities [NO: bigmemory] | Cores 2/2\n", |
|
|
26 |
"\n", |
|
|
27 |
" To enable shared memory capabilities, try: install.extras('\n", |
|
|
28 |
"NMF\n", |
|
|
29 |
"')\n", |
|
|
30 |
"\n", |
|
|
31 |
"Warning message in system(\"timedatectl\", intern = TRUE):\n", |
|
|
32 |
"“running command 'timedatectl' had status 1”\n", |
|
|
33 |
"── \u001b[1mAttaching core tidyverse packages\u001b[22m ──────────────────────── tidyverse 2.0.0 ──\n", |
|
|
34 |
"\u001b[32m✔\u001b[39m \u001b[34mdplyr \u001b[39m 1.1.3 \u001b[32m✔\u001b[39m \u001b[34mreadr \u001b[39m 2.1.4\n", |
|
|
35 |
"\u001b[32m✔\u001b[39m \u001b[34mforcats \u001b[39m 1.0.0 \u001b[32m✔\u001b[39m \u001b[34mstringr \u001b[39m 1.5.0\n", |
|
|
36 |
"\u001b[32m✔\u001b[39m \u001b[34mggplot2 \u001b[39m 3.4.4 \u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 3.2.1\n", |
|
|
37 |
"\u001b[32m✔\u001b[39m \u001b[34mlubridate\u001b[39m 1.9.3 \u001b[32m✔\u001b[39m \u001b[34mtidyr \u001b[39m 1.3.0\n", |
|
|
38 |
"\u001b[32m✔\u001b[39m \u001b[34mpurrr \u001b[39m 1.0.2 \n", |
|
|
39 |
"── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n", |
|
|
40 |
"\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mcombine()\u001b[39m masks \u001b[34mBiobase\u001b[39m::combine(), \u001b[34mBiocGenerics\u001b[39m::combine()\n", |
|
|
41 |
"\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n", |
|
|
42 |
"\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m masks \u001b[34mstats\u001b[39m::lag()\n", |
|
|
43 |
"\u001b[31m✖\u001b[39m \u001b[34mggplot2\u001b[39m::\u001b[32mPosition()\u001b[39m masks \u001b[34mBiocGenerics\u001b[39m::Position(), \u001b[34mbase\u001b[39m::Position()\n", |
|
|
44 |
"\u001b[36mℹ\u001b[39m Use the conflicted package (\u001b[3m\u001b[34m<http://conflicted.r-lib.org/>\u001b[39m\u001b[23m) to force all conflicts to become errors\n" |
|
|
45 |
] |
|
|
46 |
} |
|
|
47 |
], |
|
|
48 |
"source": [ |
|
|
49 |
"suppressWarnings(library(BayesPrism))\n", |
|
|
50 |
"library(tidyverse)" |
|
|
51 |
] |
|
|
52 |
}, |
|
|
53 |
{ |
|
|
54 |
"cell_type": "code", |
|
|
55 |
"execution_count": 2, |
|
|
56 |
"id": "statistical-ancient", |
|
|
57 |
"metadata": {}, |
|
|
58 |
"outputs": [ |
|
|
59 |
{ |
|
|
60 |
"data": { |
|
|
61 |
"text/plain": [ |
|
|
62 |
"ExpressionSet (storageMode: lockedEnvironment)\n", |
|
|
63 |
"assayData: 15767 features, 62199 samples \n", |
|
|
64 |
" element names: exprs \n", |
|
|
65 |
"protocolData: none\n", |
|
|
66 |
"phenoData\n", |
|
|
67 |
" sampleNames: AAACCTGCATCACAAC-0_CTCL1_CTCL1_CTCL1\n", |
|
|
68 |
" AAACCTGCATGTAAGA-0_CTCL1_CTCL1_CTCL1 ... GACGTGCTCACATACG-92_S5\n", |
|
|
69 |
" (62199 total)\n", |
|
|
70 |
" varLabels: donor cell_type\n", |
|
|
71 |
" varMetadata: labelDescription\n", |
|
|
72 |
"featureData: none\n", |
|
|
73 |
"experimentData: use 'experimentData(object)'\n", |
|
|
74 |
"Annotation: " |
|
|
75 |
] |
|
|
76 |
}, |
|
|
77 |
"metadata": {}, |
|
|
78 |
"output_type": "display_data" |
|
|
79 |
} |
|
|
80 |
], |
|
|
81 |
"source": [ |
|
|
82 |
"SC.eset <- readRDS('/lustre/scratch126/cellgen/team205/rl20/CTCL/object_revision/All_samples_final_20240707_sub0.08_for_deconv_ExpressionSet.rds')\n", |
|
|
83 |
"SC.eset" |
|
|
84 |
] |
|
|
85 |
}, |
|
|
86 |
{ |
|
|
87 |
"cell_type": "code", |
|
|
88 |
"execution_count": 3, |
|
|
89 |
"id": "asian-perth", |
|
|
90 |
"metadata": {}, |
|
|
91 |
"outputs": [ |
|
|
92 |
{ |
|
|
93 |
"data": { |
|
|
94 |
"text/html": [ |
|
|
95 |
"<style>\n", |
|
|
96 |
".list-inline {list-style: none; margin:0; padding: 0}\n", |
|
|
97 |
".list-inline>li {display: inline-block}\n", |
|
|
98 |
".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n", |
|
|
99 |
"</style>\n", |
|
|
100 |
"<ol class=list-inline><li>62199</li><li>15767</li></ol>\n" |
|
|
101 |
], |
|
|
102 |
"text/latex": [ |
|
|
103 |
"\\begin{enumerate*}\n", |
|
|
104 |
"\\item 62199\n", |
|
|
105 |
"\\item 15767\n", |
|
|
106 |
"\\end{enumerate*}\n" |
|
|
107 |
], |
|
|
108 |
"text/markdown": [ |
|
|
109 |
"1. 62199\n", |
|
|
110 |
"2. 15767\n", |
|
|
111 |
"\n", |
|
|
112 |
"\n" |
|
|
113 |
], |
|
|
114 |
"text/plain": [ |
|
|
115 |
"[1] 62199 15767" |
|
|
116 |
] |
|
|
117 |
}, |
|
|
118 |
"metadata": {}, |
|
|
119 |
"output_type": "display_data" |
|
|
120 |
} |
|
|
121 |
], |
|
|
122 |
"source": [ |
|
|
123 |
"sc.dat <- as.matrix(exprs(SC.eset)) %>% t()\n", |
|
|
124 |
"dim(sc.dat)" |
|
|
125 |
] |
|
|
126 |
}, |
|
|
127 |
{ |
|
|
128 |
"cell_type": "code", |
|
|
129 |
"execution_count": 4, |
|
|
130 |
"id": "growing-hearts", |
|
|
131 |
"metadata": {}, |
|
|
132 |
"outputs": [ |
|
|
133 |
{ |
|
|
134 |
"data": { |
|
|
135 |
"text/plain": [ |
|
|
136 |
"ExpressionSet (storageMode: lockedEnvironment)\n", |
|
|
137 |
"assayData: 33216 features, 49 samples \n", |
|
|
138 |
" element names: exprs \n", |
|
|
139 |
"protocolData: none\n", |
|
|
140 |
"phenoData\n", |
|
|
141 |
" sampleNames: B266 B355 ... N69 (49 total)\n", |
|
|
142 |
" varLabels: condition\n", |
|
|
143 |
" varMetadata: labelDescription\n", |
|
|
144 |
"featureData\n", |
|
|
145 |
" featureNames: METTL25 LINC01742 ... INVS (33216 total)\n", |
|
|
146 |
" fvarLabels: gene_name\n", |
|
|
147 |
" fvarMetadata: labelDescription\n", |
|
|
148 |
"experimentData: use 'experimentData(object)'\n", |
|
|
149 |
"Annotation: " |
|
|
150 |
] |
|
|
151 |
}, |
|
|
152 |
"metadata": {}, |
|
|
153 |
"output_type": "display_data" |
|
|
154 |
} |
|
|
155 |
], |
|
|
156 |
"source": [ |
|
|
157 |
"Bulk.eset <- readRDS('/home/jovyan/farm/CTCL/deconvolution/CTCL-PKU_ExpressionSet.rds') ## CTCL\n", |
|
|
158 |
"#Bulk.eset <- readRDS('/lustre/scratch126/cellgen/team205/rl20/CTCL/deconvolution/GSE121212_readcount_ExpressionSet.rds') ## healthy skin, AD and psoriasis\n", |
|
|
159 |
"\n", |
|
|
160 |
"Bulk.eset" |
|
|
161 |
] |
|
|
162 |
}, |
|
|
163 |
{ |
|
|
164 |
"cell_type": "code", |
|
|
165 |
"execution_count": 5, |
|
|
166 |
"id": "academic-hours", |
|
|
167 |
"metadata": {}, |
|
|
168 |
"outputs": [ |
|
|
169 |
{ |
|
|
170 |
"data": { |
|
|
171 |
"text/html": [ |
|
|
172 |
"<style>\n", |
|
|
173 |
".list-inline {list-style: none; margin:0; padding: 0}\n", |
|
|
174 |
".list-inline>li {display: inline-block}\n", |
|
|
175 |
".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n", |
|
|
176 |
"</style>\n", |
|
|
177 |
"<ol class=list-inline><li>49</li><li>33216</li></ol>\n" |
|
|
178 |
], |
|
|
179 |
"text/latex": [ |
|
|
180 |
"\\begin{enumerate*}\n", |
|
|
181 |
"\\item 49\n", |
|
|
182 |
"\\item 33216\n", |
|
|
183 |
"\\end{enumerate*}\n" |
|
|
184 |
], |
|
|
185 |
"text/markdown": [ |
|
|
186 |
"1. 49\n", |
|
|
187 |
"2. 33216\n", |
|
|
188 |
"\n", |
|
|
189 |
"\n" |
|
|
190 |
], |
|
|
191 |
"text/plain": [ |
|
|
192 |
"[1] 49 33216" |
|
|
193 |
] |
|
|
194 |
}, |
|
|
195 |
"metadata": {}, |
|
|
196 |
"output_type": "display_data" |
|
|
197 |
} |
|
|
198 |
], |
|
|
199 |
"source": [ |
|
|
200 |
"bk.dat <- t(as.matrix(exprs(Bulk.eset)))\n", |
|
|
201 |
"dim(bk.dat)" |
|
|
202 |
] |
|
|
203 |
}, |
|
|
204 |
{ |
|
|
205 |
"cell_type": "code", |
|
|
206 |
"execution_count": 6, |
|
|
207 |
"id": "greek-insertion", |
|
|
208 |
"metadata": {}, |
|
|
209 |
"outputs": [], |
|
|
210 |
"source": [ |
|
|
211 |
"cell.type.labels <- as.vector(phenoData(SC.eset)$cell_type)\n", |
|
|
212 |
"cell.state.labels <- as.vector(phenoData(SC.eset)$cell_type)\n" |
|
|
213 |
] |
|
|
214 |
}, |
|
|
215 |
{ |
|
|
216 |
"cell_type": "markdown", |
|
|
217 |
"id": "literary-stake", |
|
|
218 |
"metadata": {}, |
|
|
219 |
"source": [ |
|
|
220 |
"### Filter outlier genes" |
|
|
221 |
] |
|
|
222 |
}, |
|
|
223 |
{ |
|
|
224 |
"cell_type": "code", |
|
|
225 |
"execution_count": 7, |
|
|
226 |
"id": "apparent-modeling", |
|
|
227 |
"metadata": {}, |
|
|
228 |
"outputs": [ |
|
|
229 |
{ |
|
|
230 |
"name": "stdout", |
|
|
231 |
"output_type": "stream", |
|
|
232 |
"text": [ |
|
|
233 |
"Gene symbols detected. Recommend to use EMSEMBLE IDs for more unique mapping.\n" |
|
|
234 |
] |
|
|
235 |
}, |
|
|
236 |
{ |
|
|
237 |
"data": { |
|
|
238 |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nBDsAAACANPH/AUTAGXDuMJmOAAAAAElFTkSuQmCC", |
|
|
239 |
"text/plain": [ |
|
|
240 |
"plot without title" |
|
|
241 |
] |
|
|
242 |
}, |
|
|
243 |
"metadata": { |
|
|
244 |
"image/png": { |
|
|
245 |
"height": 420, |
|
|
246 |
"width": 420 |
|
|
247 |
} |
|
|
248 |
}, |
|
|
249 |
"output_type": "display_data" |
|
|
250 |
} |
|
|
251 |
], |
|
|
252 |
"source": [ |
|
|
253 |
"sc.stat <- plot.scRNA.outlier(\n", |
|
|
254 |
" input=sc.dat, #make sure the colnames are gene symbol or ENSMEBL ID \n", |
|
|
255 |
" cell.type.labels=cell.type.labels,\n", |
|
|
256 |
" species=\"hs\", #currently only human(hs) and mouse(mm) annotations are supported\n", |
|
|
257 |
" return.raw=TRUE #return the data used for plotting. \n", |
|
|
258 |
" #pdf.prefix=\"gbm.sc.stat\" specify pdf.prefix if need to output to pdf\n", |
|
|
259 |
")\n", |
|
|
260 |
"#> EMSEMBLE IDs detected.\n" |
|
|
261 |
] |
|
|
262 |
}, |
|
|
263 |
{ |
|
|
264 |
"cell_type": "code", |
|
|
265 |
"execution_count": 8, |
|
|
266 |
"id": "subtle-future", |
|
|
267 |
"metadata": {}, |
|
|
268 |
"outputs": [ |
|
|
269 |
{ |
|
|
270 |
"data": { |
|
|
271 |
"text/html": [ |
|
|
272 |
"<table class=\"dataframe\">\n", |
|
|
273 |
"<caption>A data.frame: 6 × 11</caption>\n", |
|
|
274 |
"<thead>\n", |
|
|
275 |
"\t<tr><th></th><th scope=col>exp.mean.log</th><th scope=col>max.spec</th><th scope=col>other_Rb</th><th scope=col>chrM</th><th scope=col>chrX</th><th scope=col>chrY</th><th scope=col>Rb</th><th scope=col>Mrp</th><th scope=col>act</th><th scope=col>hb</th><th scope=col>MALAT1</th></tr>\n", |
|
|
276 |
"\t<tr><th></th><th scope=col><dbl></th><th scope=col><dbl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th></tr>\n", |
|
|
277 |
"</thead>\n", |
|
|
278 |
"<tbody>\n", |
|
|
279 |
"\t<tr><th scope=row>SAMD11</th><td>-14.996691</td><td>0.18132875</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
280 |
"\t<tr><th scope=row>NOC2L</th><td> -9.976312</td><td>0.04265807</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
281 |
"\t<tr><th scope=row>KLHL17</th><td>-12.521347</td><td>0.07448819</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
282 |
"\t<tr><th scope=row>PLEKHN1</th><td>-11.946395</td><td>0.13014671</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
283 |
"\t<tr><th scope=row>HES4</th><td> -9.980664</td><td>0.19117381</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
284 |
"\t<tr><th scope=row>ISG15</th><td> -8.488986</td><td>0.10391691</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
285 |
"</tbody>\n", |
|
|
286 |
"</table>\n" |
|
|
287 |
], |
|
|
288 |
"text/latex": [ |
|
|
289 |
"A data.frame: 6 × 11\n", |
|
|
290 |
"\\begin{tabular}{r|lllllllllll}\n", |
|
|
291 |
" & exp.mean.log & max.spec & other\\_Rb & chrM & chrX & chrY & Rb & Mrp & act & hb & MALAT1\\\\\n", |
|
|
292 |
" & <dbl> & <dbl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl>\\\\\n", |
|
|
293 |
"\\hline\n", |
|
|
294 |
"\tSAMD11 & -14.996691 & 0.18132875 & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
295 |
"\tNOC2L & -9.976312 & 0.04265807 & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
296 |
"\tKLHL17 & -12.521347 & 0.07448819 & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
297 |
"\tPLEKHN1 & -11.946395 & 0.13014671 & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
298 |
"\tHES4 & -9.980664 & 0.19117381 & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
299 |
"\tISG15 & -8.488986 & 0.10391691 & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
300 |
"\\end{tabular}\n" |
|
|
301 |
], |
|
|
302 |
"text/markdown": [ |
|
|
303 |
"\n", |
|
|
304 |
"A data.frame: 6 × 11\n", |
|
|
305 |
"\n", |
|
|
306 |
"| <!--/--> | exp.mean.log <dbl> | max.spec <dbl> | other_Rb <lgl> | chrM <lgl> | chrX <lgl> | chrY <lgl> | Rb <lgl> | Mrp <lgl> | act <lgl> | hb <lgl> | MALAT1 <lgl> |\n", |
|
|
307 |
"|---|---|---|---|---|---|---|---|---|---|---|---|\n", |
|
|
308 |
"| SAMD11 | -14.996691 | 0.18132875 | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
309 |
"| NOC2L | -9.976312 | 0.04265807 | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
310 |
"| KLHL17 | -12.521347 | 0.07448819 | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
311 |
"| PLEKHN1 | -11.946395 | 0.13014671 | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
312 |
"| HES4 | -9.980664 | 0.19117381 | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
313 |
"| ISG15 | -8.488986 | 0.10391691 | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
314 |
"\n" |
|
|
315 |
], |
|
|
316 |
"text/plain": [ |
|
|
317 |
" exp.mean.log max.spec other_Rb chrM chrX chrY Rb Mrp act \n", |
|
|
318 |
"SAMD11 -14.996691 0.18132875 FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
319 |
"NOC2L -9.976312 0.04265807 FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
320 |
"KLHL17 -12.521347 0.07448819 FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
321 |
"PLEKHN1 -11.946395 0.13014671 FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
322 |
"HES4 -9.980664 0.19117381 FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
323 |
"ISG15 -8.488986 0.10391691 FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
324 |
" hb MALAT1\n", |
|
|
325 |
"SAMD11 FALSE FALSE \n", |
|
|
326 |
"NOC2L FALSE FALSE \n", |
|
|
327 |
"KLHL17 FALSE FALSE \n", |
|
|
328 |
"PLEKHN1 FALSE FALSE \n", |
|
|
329 |
"HES4 FALSE FALSE \n", |
|
|
330 |
"ISG15 FALSE FALSE " |
|
|
331 |
] |
|
|
332 |
}, |
|
|
333 |
"metadata": {}, |
|
|
334 |
"output_type": "display_data" |
|
|
335 |
} |
|
|
336 |
], |
|
|
337 |
"source": [ |
|
|
338 |
"head(sc.stat) " |
|
|
339 |
] |
|
|
340 |
}, |
|
|
341 |
{ |
|
|
342 |
"cell_type": "code", |
|
|
343 |
"execution_count": 9, |
|
|
344 |
"id": "consecutive-intensity", |
|
|
345 |
"metadata": {}, |
|
|
346 |
"outputs": [ |
|
|
347 |
{ |
|
|
348 |
"name": "stdout", |
|
|
349 |
"output_type": "stream", |
|
|
350 |
"text": [ |
|
|
351 |
"Gene symbols detected. Recommend to use EMSEMBLE IDs for more unique mapping.\n" |
|
|
352 |
] |
|
|
353 |
}, |
|
|
354 |
{ |
|
|
355 |
"data": { |
|
|
356 |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nSUVORK5CYII=", |
|
|
357 |
"text/plain": [ |
|
|
358 |
"plot without title" |
|
|
359 |
] |
|
|
360 |
}, |
|
|
361 |
"metadata": { |
|
|
362 |
"image/png": { |
|
|
363 |
"height": 420, |
|
|
364 |
"width": 420 |
|
|
365 |
} |
|
|
366 |
}, |
|
|
367 |
"output_type": "display_data" |
|
|
368 |
} |
|
|
369 |
], |
|
|
370 |
"source": [ |
|
|
371 |
"bk.stat <- plot.bulk.outlier(\n", |
|
|
372 |
" bulk.input=bk.dat,#make sure the colnames are gene symbol or ENSMEBL ID \n", |
|
|
373 |
" sc.input=sc.dat, #make sure the colnames are gene symbol or ENSMEBL ID \n", |
|
|
374 |
" cell.type.labels=cell.type.labels,\n", |
|
|
375 |
" species=\"hs\", #currently only human(hs) and mouse(mm) annotations are supported\n", |
|
|
376 |
" return.raw=TRUE\n", |
|
|
377 |
" #pdf.prefix=\"gbm.bk.stat\" specify pdf.prefix if need to output to pdf\n", |
|
|
378 |
")\n", |
|
|
379 |
"#> EMSEMBLE IDs detected." |
|
|
380 |
] |
|
|
381 |
}, |
|
|
382 |
{ |
|
|
383 |
"cell_type": "code", |
|
|
384 |
"execution_count": 10, |
|
|
385 |
"id": "greater-defeat", |
|
|
386 |
"metadata": {}, |
|
|
387 |
"outputs": [ |
|
|
388 |
{ |
|
|
389 |
"data": { |
|
|
390 |
"text/html": [ |
|
|
391 |
"<table class=\"dataframe\">\n", |
|
|
392 |
"<caption>A data.frame: 6 × 11</caption>\n", |
|
|
393 |
"<thead>\n", |
|
|
394 |
"\t<tr><th></th><th scope=col>exp.mean.log</th><th scope=col>max.spec</th><th scope=col>other_Rb</th><th scope=col>chrM</th><th scope=col>chrX</th><th scope=col>chrY</th><th scope=col>Rb</th><th scope=col>Mrp</th><th scope=col>act</th><th scope=col>hb</th><th scope=col>MALAT1</th></tr>\n", |
|
|
395 |
"\t<tr><th></th><th scope=col><dbl></th><th scope=col><dbl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th><th scope=col><lgl></th></tr>\n", |
|
|
396 |
"</thead>\n", |
|
|
397 |
"<tbody>\n", |
|
|
398 |
"\t<tr><th scope=row>METTL25</th><td>-12.06643</td><td>0.06561844</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
399 |
"\t<tr><th scope=row>LINC01742</th><td>-18.34815</td><td> NA</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
400 |
"\t<tr><th scope=row>CXorf51A</th><td>-18.42068</td><td> NA</td><td>FALSE</td><td>FALSE</td><td> TRUE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
401 |
"\t<tr><th scope=row>AC093525.4</th><td>-15.21725</td><td> NA</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
402 |
"\t<tr><th scope=row>C3orf79</th><td>-15.93276</td><td> NA</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
403 |
"\t<tr><th scope=row>THOC3</th><td>-10.62218</td><td> NA</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td></tr>\n", |
|
|
404 |
"</tbody>\n", |
|
|
405 |
"</table>\n" |
|
|
406 |
], |
|
|
407 |
"text/latex": [ |
|
|
408 |
"A data.frame: 6 × 11\n", |
|
|
409 |
"\\begin{tabular}{r|lllllllllll}\n", |
|
|
410 |
" & exp.mean.log & max.spec & other\\_Rb & chrM & chrX & chrY & Rb & Mrp & act & hb & MALAT1\\\\\n", |
|
|
411 |
" & <dbl> & <dbl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl> & <lgl>\\\\\n", |
|
|
412 |
"\\hline\n", |
|
|
413 |
"\tMETTL25 & -12.06643 & 0.06561844 & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
414 |
"\tLINC01742 & -18.34815 & NA & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
415 |
"\tCXorf51A & -18.42068 & NA & FALSE & FALSE & TRUE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
416 |
"\tAC093525.4 & -15.21725 & NA & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
417 |
"\tC3orf79 & -15.93276 & NA & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
418 |
"\tTHOC3 & -10.62218 & NA & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE & FALSE\\\\\n", |
|
|
419 |
"\\end{tabular}\n" |
|
|
420 |
], |
|
|
421 |
"text/markdown": [ |
|
|
422 |
"\n", |
|
|
423 |
"A data.frame: 6 × 11\n", |
|
|
424 |
"\n", |
|
|
425 |
"| <!--/--> | exp.mean.log <dbl> | max.spec <dbl> | other_Rb <lgl> | chrM <lgl> | chrX <lgl> | chrY <lgl> | Rb <lgl> | Mrp <lgl> | act <lgl> | hb <lgl> | MALAT1 <lgl> |\n", |
|
|
426 |
"|---|---|---|---|---|---|---|---|---|---|---|---|\n", |
|
|
427 |
"| METTL25 | -12.06643 | 0.06561844 | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
428 |
"| LINC01742 | -18.34815 | NA | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
429 |
"| CXorf51A | -18.42068 | NA | FALSE | FALSE | TRUE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
430 |
"| AC093525.4 | -15.21725 | NA | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
431 |
"| C3orf79 | -15.93276 | NA | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
432 |
"| THOC3 | -10.62218 | NA | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE | FALSE |\n", |
|
|
433 |
"\n" |
|
|
434 |
], |
|
|
435 |
"text/plain": [ |
|
|
436 |
" exp.mean.log max.spec other_Rb chrM chrX chrY Rb Mrp act \n", |
|
|
437 |
"METTL25 -12.06643 0.06561844 FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
438 |
"LINC01742 -18.34815 NA FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
439 |
"CXorf51A -18.42068 NA FALSE FALSE TRUE FALSE FALSE FALSE FALSE\n", |
|
|
440 |
"AC093525.4 -15.21725 NA FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
441 |
"C3orf79 -15.93276 NA FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
442 |
"THOC3 -10.62218 NA FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n", |
|
|
443 |
" hb MALAT1\n", |
|
|
444 |
"METTL25 FALSE FALSE \n", |
|
|
445 |
"LINC01742 FALSE FALSE \n", |
|
|
446 |
"CXorf51A FALSE FALSE \n", |
|
|
447 |
"AC093525.4 FALSE FALSE \n", |
|
|
448 |
"C3orf79 FALSE FALSE \n", |
|
|
449 |
"THOC3 FALSE FALSE " |
|
|
450 |
] |
|
|
451 |
}, |
|
|
452 |
"metadata": {}, |
|
|
453 |
"output_type": "display_data" |
|
|
454 |
} |
|
|
455 |
], |
|
|
456 |
"source": [ |
|
|
457 |
"head(bk.stat)" |
|
|
458 |
] |
|
|
459 |
}, |
|
|
460 |
{ |
|
|
461 |
"cell_type": "code", |
|
|
462 |
"execution_count": 11, |
|
|
463 |
"id": "prostate-disability", |
|
|
464 |
"metadata": {}, |
|
|
465 |
"outputs": [ |
|
|
466 |
{ |
|
|
467 |
"name": "stdout", |
|
|
468 |
"output_type": "stream", |
|
|
469 |
"text": [ |
|
|
470 |
"Gene symbols detected. Recommend to use EMSEMBLE IDs for more unique mapping.\n", |
|
|
471 |
"number of genes filtered in each category: \n", |
|
|
472 |
" Rb Mrp other_Rb chrM MALAT1 chrX chrY \n", |
|
|
473 |
" 1 1 1 11 0 555 30 \n", |
|
|
474 |
"A total of 581 genes from Rb Mrp other_Rb chrM MALAT1 chrX chrY have been excluded \n", |
|
|
475 |
"A total of 111 gene expressed in fewer than 5 cells have been excluded \n" |
|
|
476 |
] |
|
|
477 |
} |
|
|
478 |
], |
|
|
479 |
"source": [ |
|
|
480 |
"sc.dat.filtered <- cleanup.genes (input=sc.dat,\n", |
|
|
481 |
" input.type=\"count.matrix\",\n", |
|
|
482 |
" species=\"hs\", \n", |
|
|
483 |
" gene.group=c( \"Rb\",\"Mrp\",\"other_Rb\",\"chrM\",\"MALAT1\",\"chrX\",\"chrY\") ,\n", |
|
|
484 |
" exp.cells=5)" |
|
|
485 |
] |
|
|
486 |
}, |
|
|
487 |
{ |
|
|
488 |
"cell_type": "code", |
|
|
489 |
"execution_count": 12, |
|
|
490 |
"id": "arranged-netscape", |
|
|
491 |
"metadata": {}, |
|
|
492 |
"outputs": [ |
|
|
493 |
{ |
|
|
494 |
"data": { |
|
|
495 |
"text/html": [ |
|
|
496 |
"<style>\n", |
|
|
497 |
".list-inline {list-style: none; margin:0; padding: 0}\n", |
|
|
498 |
".list-inline>li {display: inline-block}\n", |
|
|
499 |
".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n", |
|
|
500 |
"</style>\n", |
|
|
501 |
"<ol class=list-inline><li>62199</li><li>15075</li></ol>\n" |
|
|
502 |
], |
|
|
503 |
"text/latex": [ |
|
|
504 |
"\\begin{enumerate*}\n", |
|
|
505 |
"\\item 62199\n", |
|
|
506 |
"\\item 15075\n", |
|
|
507 |
"\\end{enumerate*}\n" |
|
|
508 |
], |
|
|
509 |
"text/markdown": [ |
|
|
510 |
"1. 62199\n", |
|
|
511 |
"2. 15075\n", |
|
|
512 |
"\n", |
|
|
513 |
"\n" |
|
|
514 |
], |
|
|
515 |
"text/plain": [ |
|
|
516 |
"[1] 62199 15075" |
|
|
517 |
] |
|
|
518 |
}, |
|
|
519 |
"metadata": {}, |
|
|
520 |
"output_type": "display_data" |
|
|
521 |
} |
|
|
522 |
], |
|
|
523 |
"source": [ |
|
|
524 |
"dim(sc.dat.filtered)" |
|
|
525 |
] |
|
|
526 |
}, |
|
|
527 |
{ |
|
|
528 |
"cell_type": "code", |
|
|
529 |
"execution_count": 13, |
|
|
530 |
"id": "laughing-history", |
|
|
531 |
"metadata": {}, |
|
|
532 |
"outputs": [ |
|
|
533 |
{ |
|
|
534 |
"name": "stdout", |
|
|
535 |
"output_type": "stream", |
|
|
536 |
"text": [ |
|
|
537 |
"Gene symbols detected. Recommend to use EMSEMBLE IDs for more unique mapping.\n" |
|
|
538 |
] |
|
|
539 |
}, |
|
|
540 |
{ |
|
|
541 |
"data": { |
|
|
542 |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\n9QAAAABJRU5ErkJggg==", |
|
|
543 |
"text/plain": [ |
|
|
544 |
"Plot with title “pseudogene”" |
|
|
545 |
] |
|
|
546 |
}, |
|
|
547 |
"metadata": { |
|
|
548 |
"image/png": { |
|
|
549 |
"height": 420, |
|
|
550 |
"width": 420 |
|
|
551 |
} |
|
|
552 |
}, |
|
|
553 |
"output_type": "display_data" |
|
|
554 |
} |
|
|
555 |
], |
|
|
556 |
"source": [ |
|
|
557 |
"#note this function only works for human data. For other species, you are advised to make plots by yourself.\n", |
|
|
558 |
"plot.bulk.vs.sc (sc.input = sc.dat.filtered,\n", |
|
|
559 |
" bulk.input = bk.dat\n", |
|
|
560 |
" #pdf.prefix=\"gbm.bk.vs.sc\" specify pdf.prefix if need to output to pdf\n", |
|
|
561 |
")" |
|
|
562 |
] |
|
|
563 |
}, |
|
|
564 |
{ |
|
|
565 |
"cell_type": "code", |
|
|
566 |
"execution_count": 14, |
|
|
567 |
"id": "metallic-fisher", |
|
|
568 |
"metadata": {}, |
|
|
569 |
"outputs": [ |
|
|
570 |
{ |
|
|
571 |
"name": "stdout", |
|
|
572 |
"output_type": "stream", |
|
|
573 |
"text": [ |
|
|
574 |
"Gene symbols detected. Recommend to use EMSEMBLE IDs for more unique mapping.\n", |
|
|
575 |
"number of genes retained in each category: \n", |
|
|
576 |
"\n", |
|
|
577 |
"protein_coding \n", |
|
|
578 |
" 14357 \n" |
|
|
579 |
] |
|
|
580 |
} |
|
|
581 |
], |
|
|
582 |
"source": [ |
|
|
583 |
"sc.dat.filtered.pc <- select.gene.type (sc.dat.filtered,\n", |
|
|
584 |
" gene.type = \"protein_coding\")" |
|
|
585 |
] |
|
|
586 |
}, |
|
|
587 |
{ |
|
|
588 |
"cell_type": "code", |
|
|
589 |
"execution_count": 15, |
|
|
590 |
"id": "hydraulic-still", |
|
|
591 |
"metadata": {}, |
|
|
592 |
"outputs": [], |
|
|
593 |
"source": [ |
|
|
594 |
"\n", |
|
|
595 |
"# Select marker genes (Optional)\n", |
|
|
596 |
"# performing pair-wise t test for cell states from different cell types\n", |
|
|
597 |
"\n", |
|
|
598 |
"diff.exp.stat <- get.exp.stat(sc.dat=sc.dat[,colSums(sc.dat>0)>3],# filter genes to reduce memory use\n", |
|
|
599 |
" cell.type.labels=cell.type.labels,\n", |
|
|
600 |
" cell.state.labels=cell.state.labels,\n", |
|
|
601 |
" psuedo.count=0.1, #a numeric value used for log2 transformation. =0.1 for 10x data, =10 for smart-seq. Default=0.1.\n", |
|
|
602 |
" cell.count.cutoff=50, # a numeric value to exclude cell state with number of cells fewer than this value for t test. Default=50.\n", |
|
|
603 |
" n.cores=5 #number of threads\n", |
|
|
604 |
" )" |
|
|
605 |
] |
|
|
606 |
}, |
|
|
607 |
{ |
|
|
608 |
"cell_type": "code", |
|
|
609 |
"execution_count": 16, |
|
|
610 |
"id": "compressed-screening", |
|
|
611 |
"metadata": {}, |
|
|
612 |
"outputs": [ |
|
|
613 |
{ |
|
|
614 |
"name": "stdout", |
|
|
615 |
"output_type": "stream", |
|
|
616 |
"text": [ |
|
|
617 |
"number of markers selected for each cell type: \n", |
|
|
618 |
"Differentiated_KC : 212 \n", |
|
|
619 |
"Differentiated_KC* : 319 \n", |
|
|
620 |
"moDC_3 : 131 \n", |
|
|
621 |
"LC_4 : 72 \n", |
|
|
622 |
"Macro_1 : 104 \n", |
|
|
623 |
"Undifferentiated_KC : 73 \n", |
|
|
624 |
"Proliferating_KC : 334 \n", |
|
|
625 |
"Melanocyte : 340 \n", |
|
|
626 |
"LC_3 : 41 \n", |
|
|
627 |
"F2 : 179 \n", |
|
|
628 |
"DC2 : 28 \n", |
|
|
629 |
"MigDC : 58 \n", |
|
|
630 |
"Th : 4 \n", |
|
|
631 |
"Macro_2 : 23 \n", |
|
|
632 |
"DC1 : 15 \n", |
|
|
633 |
"Inf_mac : 52 \n", |
|
|
634 |
"LC_2 : 16 \n", |
|
|
635 |
"Treg : 31 \n", |
|
|
636 |
"moDC_1 : 12 \n", |
|
|
637 |
"Tc17_Th17 : 8 \n", |
|
|
638 |
"Tc : 6 \n", |
|
|
639 |
"ILC1_NK : 14 \n", |
|
|
640 |
"Mono_mac : 49 \n", |
|
|
641 |
"F3 : 37 \n", |
|
|
642 |
"F1 : 308 \n", |
|
|
643 |
"moDC_2 : 35 \n", |
|
|
644 |
"B_cell : 116 \n", |
|
|
645 |
"NK : 50 \n", |
|
|
646 |
"VE2 : 121 \n", |
|
|
647 |
"VE1 : 78 \n", |
|
|
648 |
"Pericyte_2 : 168 \n", |
|
|
649 |
"Pericyte_1 : 42 \n", |
|
|
650 |
"pDC : 262 \n", |
|
|
651 |
"VE3 : 96 \n", |
|
|
652 |
"LE1 : 86 \n", |
|
|
653 |
"LE2 : 104 \n", |
|
|
654 |
"Schwann_1 : 36 \n", |
|
|
655 |
"Plasma : 154 \n", |
|
|
656 |
"ILC1_3 : 26 \n", |
|
|
657 |
"Tc_IL13_IL22 : 19 \n", |
|
|
658 |
"Mast_cell : 39 \n", |
|
|
659 |
"LC_1 : 65 \n", |
|
|
660 |
"ILC2 : 48 \n" |
|
|
661 |
] |
|
|
662 |
} |
|
|
663 |
], |
|
|
664 |
"source": [ |
|
|
665 |
"sc.dat.filtered.pc.sig <- select.marker (sc.dat=sc.dat.filtered.pc,\n", |
|
|
666 |
" stat=diff.exp.stat,\n", |
|
|
667 |
" pval.max=0.01,\n", |
|
|
668 |
" lfc.min=0.1)" |
|
|
669 |
] |
|
|
670 |
}, |
|
|
671 |
{ |
|
|
672 |
"cell_type": "code", |
|
|
673 |
"execution_count": 17, |
|
|
674 |
"id": "plain-friendship", |
|
|
675 |
"metadata": {}, |
|
|
676 |
"outputs": [ |
|
|
677 |
{ |
|
|
678 |
"data": { |
|
|
679 |
"text/html": [ |
|
|
680 |
"<style>\n", |
|
|
681 |
".list-inline {list-style: none; margin:0; padding: 0}\n", |
|
|
682 |
".list-inline>li {display: inline-block}\n", |
|
|
683 |
".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n", |
|
|
684 |
"</style>\n", |
|
|
685 |
"<ol class=list-inline><li>62199</li><li>3719</li></ol>\n" |
|
|
686 |
], |
|
|
687 |
"text/latex": [ |
|
|
688 |
"\\begin{enumerate*}\n", |
|
|
689 |
"\\item 62199\n", |
|
|
690 |
"\\item 3719\n", |
|
|
691 |
"\\end{enumerate*}\n" |
|
|
692 |
], |
|
|
693 |
"text/markdown": [ |
|
|
694 |
"1. 62199\n", |
|
|
695 |
"2. 3719\n", |
|
|
696 |
"\n", |
|
|
697 |
"\n" |
|
|
698 |
], |
|
|
699 |
"text/plain": [ |
|
|
700 |
"[1] 62199 3719" |
|
|
701 |
] |
|
|
702 |
}, |
|
|
703 |
"metadata": {}, |
|
|
704 |
"output_type": "display_data" |
|
|
705 |
} |
|
|
706 |
], |
|
|
707 |
"source": [ |
|
|
708 |
"dim(sc.dat.filtered.pc.sig)" |
|
|
709 |
] |
|
|
710 |
}, |
|
|
711 |
{ |
|
|
712 |
"cell_type": "markdown", |
|
|
713 |
"id": "engaging-tiger", |
|
|
714 |
"metadata": {}, |
|
|
715 |
"source": [ |
|
|
716 |
"#### Construct a prism object" |
|
|
717 |
] |
|
|
718 |
}, |
|
|
719 |
{ |
|
|
720 |
"cell_type": "code", |
|
|
721 |
"execution_count": 18, |
|
|
722 |
"id": "treated-prime", |
|
|
723 |
"metadata": {}, |
|
|
724 |
"outputs": [ |
|
|
725 |
{ |
|
|
726 |
"name": "stdout", |
|
|
727 |
"output_type": "stream", |
|
|
728 |
"text": [ |
|
|
729 |
"number of cells in each cell state \n", |
|
|
730 |
"cell.state.labels\n", |
|
|
731 |
" ILC2 Mast_cell LC_1 pDC \n", |
|
|
732 |
" 68 142 143 251 \n", |
|
|
733 |
" Schwann_1 ILC1_NK NK LE1 \n", |
|
|
734 |
" 288 295 342 372 \n", |
|
|
735 |
" Macro_2 LE2 ILC1_3 LC_2 \n", |
|
|
736 |
" 445 483 526 538 \n", |
|
|
737 |
" moDC_1 Plasma DC1 Tc17_Th17 \n", |
|
|
738 |
" 553 565 638 668 \n", |
|
|
739 |
" LC_3 moDC_2 LC_4 VE3 \n", |
|
|
740 |
" 686 694 738 743 \n", |
|
|
741 |
" moDC_3 Inf_mac Tc_IL13_IL22 Macro_1 \n", |
|
|
742 |
" 828 845 881 903 \n", |
|
|
743 |
" MigDC Pericyte_2 Proliferating_KC Melanocyte \n", |
|
|
744 |
" 942 979 1025 1088 \n", |
|
|
745 |
" Mono_mac DC2 Pericyte_1 VE1 \n", |
|
|
746 |
" 1102 1172 1201 1221 \n", |
|
|
747 |
" B_cell F1 F3 Undifferentiated_KC \n", |
|
|
748 |
" 1254 1435 1511 1903 \n", |
|
|
749 |
" Differentiated_KC* VE2 Treg F2 \n", |
|
|
750 |
" 2839 3275 3414 3795 \n", |
|
|
751 |
" Tc Th Differentiated_KC \n", |
|
|
752 |
" 5021 7334 9053 \n", |
|
|
753 |
"No tumor reference is speficied. Reference cell types are treated equally. \n", |
|
|
754 |
"Number of outlier genes filtered from mixture = 9 \n", |
|
|
755 |
"Aligning reference and mixture... \n", |
|
|
756 |
"Normalizing reference... \n" |
|
|
757 |
] |
|
|
758 |
} |
|
|
759 |
], |
|
|
760 |
"source": [ |
|
|
761 |
"myPrism <- new.prism(\n", |
|
|
762 |
" reference=sc.dat.filtered.pc.sig, ### or sc.dat.filtered.pc\n", |
|
|
763 |
" mixture=bk.dat,\n", |
|
|
764 |
" input.type=\"count.matrix\", \n", |
|
|
765 |
" cell.type.labels = cell.type.labels, \n", |
|
|
766 |
" cell.state.labels = cell.state.labels,\n", |
|
|
767 |
" key=NULL,\n", |
|
|
768 |
" outlier.cut=0.01,\n", |
|
|
769 |
" outlier.fraction=0.1,\n", |
|
|
770 |
")" |
|
|
771 |
] |
|
|
772 |
}, |
|
|
773 |
{ |
|
|
774 |
"cell_type": "code", |
|
|
775 |
"execution_count": 19, |
|
|
776 |
"id": "scheduled-mercy", |
|
|
777 |
"metadata": {}, |
|
|
778 |
"outputs": [ |
|
|
779 |
{ |
|
|
780 |
"name": "stdout", |
|
|
781 |
"output_type": "stream", |
|
|
782 |
"text": [ |
|
|
783 |
"Run Gibbs sampling... \n", |
|
|
784 |
"Current time: 2024-07-09 23:11:16 \n", |
|
|
785 |
"Estimated time to complete: 9mins \n", |
|
|
786 |
"Estimated finishing time: 2024-07-09 23:19:20 \n", |
|
|
787 |
"Start run... \n", |
|
|
788 |
"R Version: R version 4.0.4 (2021-02-15) \n", |
|
|
789 |
"\n" |
|
|
790 |
] |
|
|
791 |
}, |
|
|
792 |
{ |
|
|
793 |
"name": "stderr", |
|
|
794 |
"output_type": "stream", |
|
|
795 |
"text": [ |
|
|
796 |
"snowfall 1.84-6.2 initialized (using snow 0.4-4): parallel execution on 50 CPUs.\n", |
|
|
797 |
"\n", |
|
|
798 |
"\n", |
|
|
799 |
"\n", |
|
|
800 |
"Stopping cluster\n", |
|
|
801 |
"\n", |
|
|
802 |
"\n" |
|
|
803 |
] |
|
|
804 |
}, |
|
|
805 |
{ |
|
|
806 |
"name": "stdout", |
|
|
807 |
"output_type": "stream", |
|
|
808 |
"text": [ |
|
|
809 |
"Update the reference matrix ... \n" |
|
|
810 |
] |
|
|
811 |
}, |
|
|
812 |
{ |
|
|
813 |
"name": "stderr", |
|
|
814 |
"output_type": "stream", |
|
|
815 |
"text": [ |
|
|
816 |
"snowfall 1.84-6.2 initialized (using snow 0.4-4): parallel execution on 50 CPUs.\n", |
|
|
817 |
"\n", |
|
|
818 |
"\n", |
|
|
819 |
"\n", |
|
|
820 |
"Stopping cluster\n", |
|
|
821 |
"\n", |
|
|
822 |
"\n" |
|
|
823 |
] |
|
|
824 |
}, |
|
|
825 |
{ |
|
|
826 |
"name": "stdout", |
|
|
827 |
"output_type": "stream", |
|
|
828 |
"text": [ |
|
|
829 |
"Run Gibbs sampling using updated reference ... \n", |
|
|
830 |
"Current time: 2024-07-09 23:34:39 \n", |
|
|
831 |
"Estimated time to complete: 6mins \n", |
|
|
832 |
"Estimated finishing time: 2024-07-09 23:40:16 \n", |
|
|
833 |
"Start run... \n" |
|
|
834 |
] |
|
|
835 |
}, |
|
|
836 |
{ |
|
|
837 |
"name": "stderr", |
|
|
838 |
"output_type": "stream", |
|
|
839 |
"text": [ |
|
|
840 |
"snowfall 1.84-6.2 initialized (using snow 0.4-4): parallel execution on 50 CPUs.\n", |
|
|
841 |
"\n", |
|
|
842 |
"\n", |
|
|
843 |
"\n", |
|
|
844 |
"Stopping cluster\n", |
|
|
845 |
"\n", |
|
|
846 |
"\n" |
|
|
847 |
] |
|
|
848 |
} |
|
|
849 |
], |
|
|
850 |
"source": [ |
|
|
851 |
"bp.res <- run.prism(prism = myPrism, n.cores=50)" |
|
|
852 |
] |
|
|
853 |
}, |
|
|
854 |
{ |
|
|
855 |
"cell_type": "code", |
|
|
856 |
"execution_count": 20, |
|
|
857 |
"id": "interracial-mambo", |
|
|
858 |
"metadata": {}, |
|
|
859 |
"outputs": [], |
|
|
860 |
"source": [ |
|
|
861 |
"#bp.res" |
|
|
862 |
] |
|
|
863 |
}, |
|
|
864 |
{ |
|
|
865 |
"cell_type": "code", |
|
|
866 |
"execution_count": 21, |
|
|
867 |
"id": "direct-delhi", |
|
|
868 |
"metadata": {}, |
|
|
869 |
"outputs": [ |
|
|
870 |
{ |
|
|
871 |
"data": { |
|
|
872 |
"text/html": [ |
|
|
873 |
"<style>\n", |
|
|
874 |
".list-inline {list-style: none; margin:0; padding: 0}\n", |
|
|
875 |
".list-inline>li {display: inline-block}\n", |
|
|
876 |
".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n", |
|
|
877 |
"</style>\n", |
|
|
878 |
"<ol class=list-inline><li>'prism'</li><li>'posterior.initial.cellState'</li><li>'posterior.initial.cellType'</li><li>'reference.update'</li><li>'posterior.theta_f'</li><li>'control_param'</li></ol>\n" |
|
|
879 |
], |
|
|
880 |
"text/latex": [ |
|
|
881 |
"\\begin{enumerate*}\n", |
|
|
882 |
"\\item 'prism'\n", |
|
|
883 |
"\\item 'posterior.initial.cellState'\n", |
|
|
884 |
"\\item 'posterior.initial.cellType'\n", |
|
|
885 |
"\\item 'reference.update'\n", |
|
|
886 |
"\\item 'posterior.theta\\_f'\n", |
|
|
887 |
"\\item 'control\\_param'\n", |
|
|
888 |
"\\end{enumerate*}\n" |
|
|
889 |
], |
|
|
890 |
"text/markdown": [ |
|
|
891 |
"1. 'prism'\n", |
|
|
892 |
"2. 'posterior.initial.cellState'\n", |
|
|
893 |
"3. 'posterior.initial.cellType'\n", |
|
|
894 |
"4. 'reference.update'\n", |
|
|
895 |
"5. 'posterior.theta_f'\n", |
|
|
896 |
"6. 'control_param'\n", |
|
|
897 |
"\n", |
|
|
898 |
"\n" |
|
|
899 |
], |
|
|
900 |
"text/plain": [ |
|
|
901 |
"[1] \"prism\" \"posterior.initial.cellState\"\n", |
|
|
902 |
"[3] \"posterior.initial.cellType\" \"reference.update\" \n", |
|
|
903 |
"[5] \"posterior.theta_f\" \"control_param\" " |
|
|
904 |
] |
|
|
905 |
}, |
|
|
906 |
"metadata": {}, |
|
|
907 |
"output_type": "display_data" |
|
|
908 |
} |
|
|
909 |
], |
|
|
910 |
"source": [ |
|
|
911 |
"slotNames(bp.res)" |
|
|
912 |
] |
|
|
913 |
}, |
|
|
914 |
{ |
|
|
915 |
"cell_type": "code", |
|
|
916 |
"execution_count": 22, |
|
|
917 |
"id": "conventional-hospital", |
|
|
918 |
"metadata": {}, |
|
|
919 |
"outputs": [ |
|
|
920 |
{ |
|
|
921 |
"data": { |
|
|
922 |
"text/html": [ |
|
|
923 |
"<table class=\"dataframe\">\n", |
|
|
924 |
"<caption>A matrix: 6 × 43 of type dbl</caption>\n", |
|
|
925 |
"<thead>\n", |
|
|
926 |
"\t<tr><th></th><th scope=col>Differentiated_KC</th><th scope=col>Differentiated_KC*</th><th scope=col>moDC_3</th><th scope=col>LC_4</th><th scope=col>Macro_1</th><th scope=col>Undifferentiated_KC</th><th scope=col>Proliferating_KC</th><th scope=col>Melanocyte</th><th scope=col>LC_3</th><th scope=col>F2</th><th scope=col>⋯</th><th scope=col>VE3</th><th scope=col>LE1</th><th scope=col>LE2</th><th scope=col>Schwann_1</th><th scope=col>Plasma</th><th scope=col>ILC1_3</th><th scope=col>Tc_IL13_IL22</th><th scope=col>Mast_cell</th><th scope=col>LC_1</th><th scope=col>ILC2</th></tr>\n", |
|
|
927 |
"</thead>\n", |
|
|
928 |
"<tbody>\n", |
|
|
929 |
"\t<tr><th scope=row>B266</th><td>1.692842e-01</td><td>3.717327e-02</td><td>1.444576e-06</td><td>1.065323e-03</td><td>1.534671e-06</td><td>3.761787e-02</td><td>1.275552e-01</td><td>1.280633e-02</td><td>1.765002e-06</td><td>0.14258037</td><td>⋯</td><td>0.03111046</td><td>3.838401e-03</td><td>2.751808e-05</td><td>1.549406e-05</td><td>4.631745e-07</td><td>3.330685e-03</td><td>5.128780e-05</td><td>3.865829e-03</td><td>1.818577e-04</td><td>3.564123e-02</td></tr>\n", |
|
|
930 |
"\t<tr><th scope=row>B355</th><td>5.949325e-02</td><td>1.815745e-02</td><td>1.413851e-06</td><td>7.060336e-07</td><td>2.869194e-02</td><td>4.176757e-03</td><td>3.389684e-02</td><td>3.674279e-03</td><td>2.039901e-06</td><td>0.16080591</td><td>⋯</td><td>0.02887420</td><td>7.505059e-03</td><td>1.310961e-05</td><td>1.271706e-06</td><td>1.279804e-06</td><td>7.445763e-06</td><td>2.660336e-03</td><td>6.830092e-04</td><td>7.400532e-07</td><td>6.169942e-02</td></tr>\n", |
|
|
931 |
"\t<tr><th scope=row>B470</th><td>8.203103e-02</td><td>1.062341e-06</td><td>2.418787e-06</td><td>2.452801e-06</td><td>8.045952e-05</td><td>1.397228e-02</td><td>1.345399e-06</td><td>1.572204e-03</td><td>1.899778e-06</td><td>0.26390641</td><td>⋯</td><td>0.03256940</td><td>5.639847e-02</td><td>1.160284e-06</td><td>1.014296e-01</td><td>1.762843e-06</td><td>3.800065e-06</td><td>2.219870e-06</td><td>3.249937e-03</td><td>4.386431e-07</td><td>1.600468e-02</td></tr>\n", |
|
|
932 |
"\t<tr><th scope=row>B520-2</th><td>3.634483e-02</td><td>3.193678e-04</td><td>2.559262e-04</td><td>5.938112e-07</td><td>2.001830e-02</td><td>9.521697e-06</td><td>3.957468e-03</td><td>9.650458e-04</td><td>1.149446e-06</td><td>0.17955553</td><td>⋯</td><td>0.01598965</td><td>4.718408e-03</td><td>5.349835e-03</td><td>6.530191e-07</td><td>8.834434e-03</td><td>5.582809e-06</td><td>2.665398e-06</td><td>3.268144e-04</td><td>3.733382e-07</td><td>8.476021e-07</td></tr>\n", |
|
|
933 |
"\t<tr><th scope=row>L107</th><td>1.044766e-02</td><td>7.150941e-04</td><td>4.990943e-07</td><td>4.437594e-07</td><td>1.545168e-01</td><td>2.746671e-07</td><td>4.543474e-02</td><td>3.707763e-03</td><td>9.452392e-07</td><td>0.08172533</td><td>⋯</td><td>0.02452236</td><td>8.463360e-07</td><td>3.309502e-03</td><td>4.678544e-07</td><td>1.147220e-06</td><td>5.777282e-06</td><td>9.411494e-04</td><td>5.157568e-07</td><td>2.334302e-07</td><td>7.620648e-07</td></tr>\n", |
|
|
934 |
"\t<tr><th scope=row>L112</th><td>8.854296e-07</td><td>2.005446e-03</td><td>1.599069e-06</td><td>3.161729e-06</td><td>1.503335e-02</td><td>6.877401e-07</td><td>3.159889e-07</td><td>6.156166e-05</td><td>6.895624e-07</td><td>0.14628568</td><td>⋯</td><td>0.01837007</td><td>1.287591e-04</td><td>6.861105e-07</td><td>2.849985e-07</td><td>1.102841e-01</td><td>4.595471e-07</td><td>4.066495e-07</td><td>6.809028e-07</td><td>2.511683e-07</td><td>1.842211e-06</td></tr>\n", |
|
|
935 |
"</tbody>\n", |
|
|
936 |
"</table>\n" |
|
|
937 |
], |
|
|
938 |
"text/latex": [ |
|
|
939 |
"A matrix: 6 × 43 of type dbl\n", |
|
|
940 |
"\\begin{tabular}{r|lllllllllllllllllllll}\n", |
|
|
941 |
" & Differentiated\\_KC & Differentiated\\_KC* & moDC\\_3 & LC\\_4 & Macro\\_1 & Undifferentiated\\_KC & Proliferating\\_KC & Melanocyte & LC\\_3 & F2 & ⋯ & VE3 & LE1 & LE2 & Schwann\\_1 & Plasma & ILC1\\_3 & Tc\\_IL13\\_IL22 & Mast\\_cell & LC\\_1 & ILC2\\\\\n", |
|
|
942 |
"\\hline\n", |
|
|
943 |
"\tB266 & 1.692842e-01 & 3.717327e-02 & 1.444576e-06 & 1.065323e-03 & 1.534671e-06 & 3.761787e-02 & 1.275552e-01 & 1.280633e-02 & 1.765002e-06 & 0.14258037 & ⋯ & 0.03111046 & 3.838401e-03 & 2.751808e-05 & 1.549406e-05 & 4.631745e-07 & 3.330685e-03 & 5.128780e-05 & 3.865829e-03 & 1.818577e-04 & 3.564123e-02\\\\\n", |
|
|
944 |
"\tB355 & 5.949325e-02 & 1.815745e-02 & 1.413851e-06 & 7.060336e-07 & 2.869194e-02 & 4.176757e-03 & 3.389684e-02 & 3.674279e-03 & 2.039901e-06 & 0.16080591 & ⋯ & 0.02887420 & 7.505059e-03 & 1.310961e-05 & 1.271706e-06 & 1.279804e-06 & 7.445763e-06 & 2.660336e-03 & 6.830092e-04 & 7.400532e-07 & 6.169942e-02\\\\\n", |
|
|
945 |
"\tB470 & 8.203103e-02 & 1.062341e-06 & 2.418787e-06 & 2.452801e-06 & 8.045952e-05 & 1.397228e-02 & 1.345399e-06 & 1.572204e-03 & 1.899778e-06 & 0.26390641 & ⋯ & 0.03256940 & 5.639847e-02 & 1.160284e-06 & 1.014296e-01 & 1.762843e-06 & 3.800065e-06 & 2.219870e-06 & 3.249937e-03 & 4.386431e-07 & 1.600468e-02\\\\\n", |
|
|
946 |
"\tB520-2 & 3.634483e-02 & 3.193678e-04 & 2.559262e-04 & 5.938112e-07 & 2.001830e-02 & 9.521697e-06 & 3.957468e-03 & 9.650458e-04 & 1.149446e-06 & 0.17955553 & ⋯ & 0.01598965 & 4.718408e-03 & 5.349835e-03 & 6.530191e-07 & 8.834434e-03 & 5.582809e-06 & 2.665398e-06 & 3.268144e-04 & 3.733382e-07 & 8.476021e-07\\\\\n", |
|
|
947 |
"\tL107 & 1.044766e-02 & 7.150941e-04 & 4.990943e-07 & 4.437594e-07 & 1.545168e-01 & 2.746671e-07 & 4.543474e-02 & 3.707763e-03 & 9.452392e-07 & 0.08172533 & ⋯ & 0.02452236 & 8.463360e-07 & 3.309502e-03 & 4.678544e-07 & 1.147220e-06 & 5.777282e-06 & 9.411494e-04 & 5.157568e-07 & 2.334302e-07 & 7.620648e-07\\\\\n", |
|
|
948 |
"\tL112 & 8.854296e-07 & 2.005446e-03 & 1.599069e-06 & 3.161729e-06 & 1.503335e-02 & 6.877401e-07 & 3.159889e-07 & 6.156166e-05 & 6.895624e-07 & 0.14628568 & ⋯ & 0.01837007 & 1.287591e-04 & 6.861105e-07 & 2.849985e-07 & 1.102841e-01 & 4.595471e-07 & 4.066495e-07 & 6.809028e-07 & 2.511683e-07 & 1.842211e-06\\\\\n", |
|
|
949 |
"\\end{tabular}\n" |
|
|
950 |
], |
|
|
951 |
"text/markdown": [ |
|
|
952 |
"\n", |
|
|
953 |
"A matrix: 6 × 43 of type dbl\n", |
|
|
954 |
"\n", |
|
|
955 |
"| <!--/--> | Differentiated_KC | Differentiated_KC* | moDC_3 | LC_4 | Macro_1 | Undifferentiated_KC | Proliferating_KC | Melanocyte | LC_3 | F2 | ⋯ | VE3 | LE1 | LE2 | Schwann_1 | Plasma | ILC1_3 | Tc_IL13_IL22 | Mast_cell | LC_1 | ILC2 |\n", |
|
|
956 |
"|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", |
|
|
957 |
"| B266 | 1.692842e-01 | 3.717327e-02 | 1.444576e-06 | 1.065323e-03 | 1.534671e-06 | 3.761787e-02 | 1.275552e-01 | 1.280633e-02 | 1.765002e-06 | 0.14258037 | ⋯ | 0.03111046 | 3.838401e-03 | 2.751808e-05 | 1.549406e-05 | 4.631745e-07 | 3.330685e-03 | 5.128780e-05 | 3.865829e-03 | 1.818577e-04 | 3.564123e-02 |\n", |
|
|
958 |
"| B355 | 5.949325e-02 | 1.815745e-02 | 1.413851e-06 | 7.060336e-07 | 2.869194e-02 | 4.176757e-03 | 3.389684e-02 | 3.674279e-03 | 2.039901e-06 | 0.16080591 | ⋯ | 0.02887420 | 7.505059e-03 | 1.310961e-05 | 1.271706e-06 | 1.279804e-06 | 7.445763e-06 | 2.660336e-03 | 6.830092e-04 | 7.400532e-07 | 6.169942e-02 |\n", |
|
|
959 |
"| B470 | 8.203103e-02 | 1.062341e-06 | 2.418787e-06 | 2.452801e-06 | 8.045952e-05 | 1.397228e-02 | 1.345399e-06 | 1.572204e-03 | 1.899778e-06 | 0.26390641 | ⋯ | 0.03256940 | 5.639847e-02 | 1.160284e-06 | 1.014296e-01 | 1.762843e-06 | 3.800065e-06 | 2.219870e-06 | 3.249937e-03 | 4.386431e-07 | 1.600468e-02 |\n", |
|
|
960 |
"| B520-2 | 3.634483e-02 | 3.193678e-04 | 2.559262e-04 | 5.938112e-07 | 2.001830e-02 | 9.521697e-06 | 3.957468e-03 | 9.650458e-04 | 1.149446e-06 | 0.17955553 | ⋯ | 0.01598965 | 4.718408e-03 | 5.349835e-03 | 6.530191e-07 | 8.834434e-03 | 5.582809e-06 | 2.665398e-06 | 3.268144e-04 | 3.733382e-07 | 8.476021e-07 |\n", |
|
|
961 |
"| L107 | 1.044766e-02 | 7.150941e-04 | 4.990943e-07 | 4.437594e-07 | 1.545168e-01 | 2.746671e-07 | 4.543474e-02 | 3.707763e-03 | 9.452392e-07 | 0.08172533 | ⋯ | 0.02452236 | 8.463360e-07 | 3.309502e-03 | 4.678544e-07 | 1.147220e-06 | 5.777282e-06 | 9.411494e-04 | 5.157568e-07 | 2.334302e-07 | 7.620648e-07 |\n", |
|
|
962 |
"| L112 | 8.854296e-07 | 2.005446e-03 | 1.599069e-06 | 3.161729e-06 | 1.503335e-02 | 6.877401e-07 | 3.159889e-07 | 6.156166e-05 | 6.895624e-07 | 0.14628568 | ⋯ | 0.01837007 | 1.287591e-04 | 6.861105e-07 | 2.849985e-07 | 1.102841e-01 | 4.595471e-07 | 4.066495e-07 | 6.809028e-07 | 2.511683e-07 | 1.842211e-06 |\n", |
|
|
963 |
"\n" |
|
|
964 |
], |
|
|
965 |
"text/plain": [ |
|
|
966 |
" Differentiated_KC Differentiated_KC* moDC_3 LC_4 \n", |
|
|
967 |
"B266 1.692842e-01 3.717327e-02 1.444576e-06 1.065323e-03\n", |
|
|
968 |
"B355 5.949325e-02 1.815745e-02 1.413851e-06 7.060336e-07\n", |
|
|
969 |
"B470 8.203103e-02 1.062341e-06 2.418787e-06 2.452801e-06\n", |
|
|
970 |
"B520-2 3.634483e-02 3.193678e-04 2.559262e-04 5.938112e-07\n", |
|
|
971 |
"L107 1.044766e-02 7.150941e-04 4.990943e-07 4.437594e-07\n", |
|
|
972 |
"L112 8.854296e-07 2.005446e-03 1.599069e-06 3.161729e-06\n", |
|
|
973 |
" Macro_1 Undifferentiated_KC Proliferating_KC Melanocyte \n", |
|
|
974 |
"B266 1.534671e-06 3.761787e-02 1.275552e-01 1.280633e-02\n", |
|
|
975 |
"B355 2.869194e-02 4.176757e-03 3.389684e-02 3.674279e-03\n", |
|
|
976 |
"B470 8.045952e-05 1.397228e-02 1.345399e-06 1.572204e-03\n", |
|
|
977 |
"B520-2 2.001830e-02 9.521697e-06 3.957468e-03 9.650458e-04\n", |
|
|
978 |
"L107 1.545168e-01 2.746671e-07 4.543474e-02 3.707763e-03\n", |
|
|
979 |
"L112 1.503335e-02 6.877401e-07 3.159889e-07 6.156166e-05\n", |
|
|
980 |
" LC_3 F2 ⋯ VE3 LE1 LE2 \n", |
|
|
981 |
"B266 1.765002e-06 0.14258037 ⋯ 0.03111046 3.838401e-03 2.751808e-05\n", |
|
|
982 |
"B355 2.039901e-06 0.16080591 ⋯ 0.02887420 7.505059e-03 1.310961e-05\n", |
|
|
983 |
"B470 1.899778e-06 0.26390641 ⋯ 0.03256940 5.639847e-02 1.160284e-06\n", |
|
|
984 |
"B520-2 1.149446e-06 0.17955553 ⋯ 0.01598965 4.718408e-03 5.349835e-03\n", |
|
|
985 |
"L107 9.452392e-07 0.08172533 ⋯ 0.02452236 8.463360e-07 3.309502e-03\n", |
|
|
986 |
"L112 6.895624e-07 0.14628568 ⋯ 0.01837007 1.287591e-04 6.861105e-07\n", |
|
|
987 |
" Schwann_1 Plasma ILC1_3 Tc_IL13_IL22 Mast_cell \n", |
|
|
988 |
"B266 1.549406e-05 4.631745e-07 3.330685e-03 5.128780e-05 3.865829e-03\n", |
|
|
989 |
"B355 1.271706e-06 1.279804e-06 7.445763e-06 2.660336e-03 6.830092e-04\n", |
|
|
990 |
"B470 1.014296e-01 1.762843e-06 3.800065e-06 2.219870e-06 3.249937e-03\n", |
|
|
991 |
"B520-2 6.530191e-07 8.834434e-03 5.582809e-06 2.665398e-06 3.268144e-04\n", |
|
|
992 |
"L107 4.678544e-07 1.147220e-06 5.777282e-06 9.411494e-04 5.157568e-07\n", |
|
|
993 |
"L112 2.849985e-07 1.102841e-01 4.595471e-07 4.066495e-07 6.809028e-07\n", |
|
|
994 |
" LC_1 ILC2 \n", |
|
|
995 |
"B266 1.818577e-04 3.564123e-02\n", |
|
|
996 |
"B355 7.400532e-07 6.169942e-02\n", |
|
|
997 |
"B470 4.386431e-07 1.600468e-02\n", |
|
|
998 |
"B520-2 3.733382e-07 8.476021e-07\n", |
|
|
999 |
"L107 2.334302e-07 7.620648e-07\n", |
|
|
1000 |
"L112 2.511683e-07 1.842211e-06" |
|
|
1001 |
] |
|
|
1002 |
}, |
|
|
1003 |
"metadata": {}, |
|
|
1004 |
"output_type": "display_data" |
|
|
1005 |
} |
|
|
1006 |
], |
|
|
1007 |
"source": [ |
|
|
1008 |
"# extract posterior mean of cell type fraction theta\n", |
|
|
1009 |
"theta <- get.fraction(bp=bp.res,\n", |
|
|
1010 |
" which.theta=\"final\",\n", |
|
|
1011 |
" state.or.type=\"type\")\n", |
|
|
1012 |
"\n", |
|
|
1013 |
"head(theta)" |
|
|
1014 |
] |
|
|
1015 |
}, |
|
|
1016 |
{ |
|
|
1017 |
"cell_type": "code", |
|
|
1018 |
"execution_count": 24, |
|
|
1019 |
"id": "express-deputy", |
|
|
1020 |
"metadata": {}, |
|
|
1021 |
"outputs": [], |
|
|
1022 |
"source": [ |
|
|
1023 |
"saveRDS(bp.res, '/lustre/scratch126/cellgen/team205/rl20/CTCL/deconvolution_revision/Deconv_PKU_CTCL_integrated_atlas_sub0.08_DEGs.rds')\n" |
|
|
1024 |
] |
|
|
1025 |
}, |
|
|
1026 |
{ |
|
|
1027 |
"cell_type": "code", |
|
|
1028 |
"execution_count": 2, |
|
|
1029 |
"id": "coated-fluid", |
|
|
1030 |
"metadata": {}, |
|
|
1031 |
"outputs": [ |
|
|
1032 |
{ |
|
|
1033 |
"name": "stderr", |
|
|
1034 |
"output_type": "stream", |
|
|
1035 |
"text": [ |
|
|
1036 |
"\n", |
|
|
1037 |
"Attaching package: ‘reshape2’\n", |
|
|
1038 |
"\n", |
|
|
1039 |
"\n", |
|
|
1040 |
"The following object is masked from ‘package:tidyr’:\n", |
|
|
1041 |
"\n", |
|
|
1042 |
" smiths\n", |
|
|
1043 |
"\n", |
|
|
1044 |
"\n", |
|
|
1045 |
"Loading required package: SummarizedExperiment\n", |
|
|
1046 |
"\n", |
|
|
1047 |
"Loading required package: GenomicRanges\n", |
|
|
1048 |
"\n", |
|
|
1049 |
"Loading required package: stats4\n", |
|
|
1050 |
"\n", |
|
|
1051 |
"Loading required package: S4Vectors\n", |
|
|
1052 |
"\n", |
|
|
1053 |
"\n", |
|
|
1054 |
"Attaching package: ‘S4Vectors’\n", |
|
|
1055 |
"\n", |
|
|
1056 |
"\n", |
|
|
1057 |
"The following objects are masked from ‘package:lubridate’:\n", |
|
|
1058 |
"\n", |
|
|
1059 |
" second, second<-\n", |
|
|
1060 |
"\n", |
|
|
1061 |
"\n", |
|
|
1062 |
"The following objects are masked from ‘package:dplyr’:\n", |
|
|
1063 |
"\n", |
|
|
1064 |
" first, rename\n", |
|
|
1065 |
"\n", |
|
|
1066 |
"\n", |
|
|
1067 |
"The following object is masked from ‘package:tidyr’:\n", |
|
|
1068 |
"\n", |
|
|
1069 |
" expand\n", |
|
|
1070 |
"\n", |
|
|
1071 |
"\n", |
|
|
1072 |
"The following object is masked from ‘package:NMF’:\n", |
|
|
1073 |
"\n", |
|
|
1074 |
" nrun\n", |
|
|
1075 |
"\n", |
|
|
1076 |
"\n", |
|
|
1077 |
"The following object is masked from ‘package:base’:\n", |
|
|
1078 |
"\n", |
|
|
1079 |
" expand.grid\n", |
|
|
1080 |
"\n", |
|
|
1081 |
"\n", |
|
|
1082 |
"Loading required package: IRanges\n", |
|
|
1083 |
"\n", |
|
|
1084 |
"\n", |
|
|
1085 |
"Attaching package: ‘IRanges’\n", |
|
|
1086 |
"\n", |
|
|
1087 |
"\n", |
|
|
1088 |
"The following object is masked from ‘package:lubridate’:\n", |
|
|
1089 |
"\n", |
|
|
1090 |
" %within%\n", |
|
|
1091 |
"\n", |
|
|
1092 |
"\n", |
|
|
1093 |
"The following objects are masked from ‘package:dplyr’:\n", |
|
|
1094 |
"\n", |
|
|
1095 |
" collapse, desc, slice\n", |
|
|
1096 |
"\n", |
|
|
1097 |
"\n", |
|
|
1098 |
"The following object is masked from ‘package:purrr’:\n", |
|
|
1099 |
"\n", |
|
|
1100 |
" reduce\n", |
|
|
1101 |
"\n", |
|
|
1102 |
"\n", |
|
|
1103 |
"Loading required package: GenomeInfoDb\n", |
|
|
1104 |
"\n", |
|
|
1105 |
"Loading required package: DelayedArray\n", |
|
|
1106 |
"\n", |
|
|
1107 |
"Loading required package: matrixStats\n", |
|
|
1108 |
"\n", |
|
|
1109 |
"\n", |
|
|
1110 |
"Attaching package: ‘matrixStats’\n", |
|
|
1111 |
"\n", |
|
|
1112 |
"\n", |
|
|
1113 |
"The following object is masked from ‘package:dplyr’:\n", |
|
|
1114 |
"\n", |
|
|
1115 |
" count\n", |
|
|
1116 |
"\n", |
|
|
1117 |
"\n", |
|
|
1118 |
"The following objects are masked from ‘package:Biobase’:\n", |
|
|
1119 |
"\n", |
|
|
1120 |
" anyMissing, rowMedians\n", |
|
|
1121 |
"\n", |
|
|
1122 |
"\n", |
|
|
1123 |
"\n", |
|
|
1124 |
"Attaching package: ‘DelayedArray’\n", |
|
|
1125 |
"\n", |
|
|
1126 |
"\n", |
|
|
1127 |
"The following objects are masked from ‘package:matrixStats’:\n", |
|
|
1128 |
"\n", |
|
|
1129 |
" colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges\n", |
|
|
1130 |
"\n", |
|
|
1131 |
"\n", |
|
|
1132 |
"The following object is masked from ‘package:purrr’:\n", |
|
|
1133 |
"\n", |
|
|
1134 |
" simplify\n", |
|
|
1135 |
"\n", |
|
|
1136 |
"\n", |
|
|
1137 |
"The following object is masked from ‘package:NMF’:\n", |
|
|
1138 |
"\n", |
|
|
1139 |
" seed\n", |
|
|
1140 |
"\n", |
|
|
1141 |
"\n", |
|
|
1142 |
"The following objects are masked from ‘package:base’:\n", |
|
|
1143 |
"\n", |
|
|
1144 |
" aperm, apply, rowsum\n", |
|
|
1145 |
"\n", |
|
|
1146 |
"\n" |
|
|
1147 |
] |
|
|
1148 |
} |
|
|
1149 |
], |
|
|
1150 |
"source": [ |
|
|
1151 |
"library(tidyverse)\n", |
|
|
1152 |
"library(ggbeeswarm)\n", |
|
|
1153 |
"library(ggplot2)\n", |
|
|
1154 |
"library(reshape2)\n", |
|
|
1155 |
"library(SingleCellExperiment)" |
|
|
1156 |
] |
|
|
1157 |
}, |
|
|
1158 |
{ |
|
|
1159 |
"cell_type": "code", |
|
|
1160 |
"execution_count": 3, |
|
|
1161 |
"id": "central-fourth", |
|
|
1162 |
"metadata": {}, |
|
|
1163 |
"outputs": [], |
|
|
1164 |
"source": [ |
|
|
1165 |
"E_1 <- readRDS('/lustre/scratch126/cellgen/team205/rl20/CTCL/deconvolution_revision/Deconv_GSE121212_integrated_atlas_sub0.08_DEGs.rds')\n", |
|
|
1166 |
"E_2 <- readRDS('/lustre/scratch126/cellgen/team205/rl20/CTCL/deconvolution_revision/Deconv_PKU_CTCL_integrated_atlas_sub0.08_DEGs.rds')" |
|
|
1167 |
] |
|
|
1168 |
}, |
|
|
1169 |
{ |
|
|
1170 |
"cell_type": "code", |
|
|
1171 |
"execution_count": 4, |
|
|
1172 |
"id": "documentary-hunger", |
|
|
1173 |
"metadata": {}, |
|
|
1174 |
"outputs": [ |
|
|
1175 |
{ |
|
|
1176 |
"data": { |
|
|
1177 |
"text/html": [ |
|
|
1178 |
"<table class=\"dataframe\">\n", |
|
|
1179 |
"<caption>A matrix: 6 × 43 of type dbl</caption>\n", |
|
|
1180 |
"<thead>\n", |
|
|
1181 |
"\t<tr><th></th><th scope=col>Differentiated_KC</th><th scope=col>Differentiated_KC*</th><th scope=col>moDC_3</th><th scope=col>LC_4</th><th scope=col>Macro_1</th><th scope=col>Undifferentiated_KC</th><th scope=col>Proliferating_KC</th><th scope=col>Melanocyte</th><th scope=col>LC_3</th><th scope=col>F2</th><th scope=col>⋯</th><th scope=col>VE3</th><th scope=col>LE1</th><th scope=col>LE2</th><th scope=col>Schwann_1</th><th scope=col>Plasma</th><th scope=col>ILC1_3</th><th scope=col>Tc_IL13_IL22</th><th scope=col>Mast_cell</th><th scope=col>LC_1</th><th scope=col>ILC2</th></tr>\n", |
|
|
1182 |
"</thead>\n", |
|
|
1183 |
"<tbody>\n", |
|
|
1184 |
"\t<tr><th scope=row>AD_004_lesional</th><td>0.3662774</td><td>1.312058e-01</td><td>6.708646e-06</td><td>3.717296e-05</td><td>5.825453e-06</td><td>0.1264446</td><td>1.362556e-01</td><td>0.03576886</td><td>2.406624e-05</td><td>0.05135181</td><td>⋯</td><td>0.006611646</td><td>0.0006732736</td><td>1.490668e-05</td><td>4.785050e-06</td><td>3.931336e-05</td><td>3.819873e-05</td><td>3.408602e-04</td><td>9.439077e-05</td><td>0.0026323934</td><td>2.451205e-05</td></tr>\n", |
|
|
1185 |
"\t<tr><th scope=row>AD_004_non-lesional</th><td>0.3928262</td><td>2.618265e-05</td><td>5.599674e-06</td><td>7.574573e-06</td><td>4.370968e-06</td><td>0.3480040</td><td>2.652032e-06</td><td>0.05840978</td><td>7.400578e-06</td><td>0.06487322</td><td>⋯</td><td>0.007615818</td><td>0.0014346038</td><td>5.418886e-06</td><td>1.005671e-04</td><td>7.588047e-06</td><td>4.423925e-06</td><td>6.037044e-06</td><td>5.801191e-04</td><td>0.0022752372</td><td>2.733273e-02</td></tr>\n", |
|
|
1186 |
"\t<tr><th scope=row>AD_005_lesional</th><td>0.2981762</td><td>1.670936e-01</td><td>8.054659e-06</td><td>4.750676e-06</td><td>8.532281e-04</td><td>0.1403595</td><td>4.370058e-02</td><td>0.02417716</td><td>3.859848e-06</td><td>0.15608005</td><td>⋯</td><td>0.016135699</td><td>0.0002477471</td><td>4.129286e-06</td><td>1.264421e-05</td><td>4.137557e-05</td><td>2.131812e-03</td><td>8.699981e-04</td><td>1.008517e-03</td><td>0.0005743516</td><td>7.851201e-06</td></tr>\n", |
|
|
1187 |
"\t<tr><th scope=row>AD_005_non-lesional</th><td>0.3530325</td><td>6.536929e-06</td><td>2.192481e-06</td><td>2.695390e-06</td><td>5.496937e-06</td><td>0.3167838</td><td>1.605605e-06</td><td>0.03278031</td><td>3.072384e-06</td><td>0.09316595</td><td>⋯</td><td>0.020312463</td><td>0.0033077567</td><td>2.795274e-06</td><td>2.254781e-03</td><td>6.595185e-05</td><td>5.327391e-06</td><td>2.034712e-06</td><td>3.656972e-04</td><td>0.0006699619</td><td>1.318961e-02</td></tr>\n", |
|
|
1188 |
"\t<tr><th scope=row>AD_006_lesional</th><td>0.4528607</td><td>2.935955e-02</td><td>1.501790e-05</td><td>6.346779e-06</td><td>1.954708e-06</td><td>0.1949189</td><td>1.193779e-01</td><td>0.05485220</td><td>2.218465e-05</td><td>0.03997333</td><td>⋯</td><td>0.009385504</td><td>0.0005699245</td><td>3.642753e-06</td><td>5.771500e-06</td><td>3.161496e-05</td><td>1.697844e-04</td><td>9.411062e-05</td><td>7.977671e-04</td><td>0.0017514416</td><td>7.415854e-03</td></tr>\n", |
|
|
1189 |
"\t<tr><th scope=row>AD_006_non-lesional</th><td>0.3455872</td><td>5.456890e-02</td><td>1.788298e-05</td><td>1.191249e-05</td><td>1.974307e-06</td><td>0.3673857</td><td>4.309040e-06</td><td>0.05119204</td><td>9.346593e-06</td><td>0.02979362</td><td>⋯</td><td>0.006644234</td><td>0.0003762136</td><td>9.238728e-06</td><td>1.684819e-05</td><td>8.784318e-06</td><td>8.974975e-05</td><td>4.714525e-06</td><td>2.745374e-04</td><td>0.0038684147</td><td>2.091884e-02</td></tr>\n", |
|
|
1190 |
"</tbody>\n", |
|
|
1191 |
"</table>\n" |
|
|
1192 |
], |
|
|
1193 |
"text/latex": [ |
|
|
1194 |
"A matrix: 6 × 43 of type dbl\n", |
|
|
1195 |
"\\begin{tabular}{r|lllllllllllllllllllll}\n", |
|
|
1196 |
" & Differentiated\\_KC & Differentiated\\_KC* & moDC\\_3 & LC\\_4 & Macro\\_1 & Undifferentiated\\_KC & Proliferating\\_KC & Melanocyte & LC\\_3 & F2 & ⋯ & VE3 & LE1 & LE2 & Schwann\\_1 & Plasma & ILC1\\_3 & Tc\\_IL13\\_IL22 & Mast\\_cell & LC\\_1 & ILC2\\\\\n", |
|
|
1197 |
"\\hline\n", |
|
|
1198 |
"\tAD\\_004\\_lesional & 0.3662774 & 1.312058e-01 & 6.708646e-06 & 3.717296e-05 & 5.825453e-06 & 0.1264446 & 1.362556e-01 & 0.03576886 & 2.406624e-05 & 0.05135181 & ⋯ & 0.006611646 & 0.0006732736 & 1.490668e-05 & 4.785050e-06 & 3.931336e-05 & 3.819873e-05 & 3.408602e-04 & 9.439077e-05 & 0.0026323934 & 2.451205e-05\\\\\n", |
|
|
1199 |
"\tAD\\_004\\_non-lesional & 0.3928262 & 2.618265e-05 & 5.599674e-06 & 7.574573e-06 & 4.370968e-06 & 0.3480040 & 2.652032e-06 & 0.05840978 & 7.400578e-06 & 0.06487322 & ⋯ & 0.007615818 & 0.0014346038 & 5.418886e-06 & 1.005671e-04 & 7.588047e-06 & 4.423925e-06 & 6.037044e-06 & 5.801191e-04 & 0.0022752372 & 2.733273e-02\\\\\n", |
|
|
1200 |
"\tAD\\_005\\_lesional & 0.2981762 & 1.670936e-01 & 8.054659e-06 & 4.750676e-06 & 8.532281e-04 & 0.1403595 & 4.370058e-02 & 0.02417716 & 3.859848e-06 & 0.15608005 & ⋯ & 0.016135699 & 0.0002477471 & 4.129286e-06 & 1.264421e-05 & 4.137557e-05 & 2.131812e-03 & 8.699981e-04 & 1.008517e-03 & 0.0005743516 & 7.851201e-06\\\\\n", |
|
|
1201 |
"\tAD\\_005\\_non-lesional & 0.3530325 & 6.536929e-06 & 2.192481e-06 & 2.695390e-06 & 5.496937e-06 & 0.3167838 & 1.605605e-06 & 0.03278031 & 3.072384e-06 & 0.09316595 & ⋯ & 0.020312463 & 0.0033077567 & 2.795274e-06 & 2.254781e-03 & 6.595185e-05 & 5.327391e-06 & 2.034712e-06 & 3.656972e-04 & 0.0006699619 & 1.318961e-02\\\\\n", |
|
|
1202 |
"\tAD\\_006\\_lesional & 0.4528607 & 2.935955e-02 & 1.501790e-05 & 6.346779e-06 & 1.954708e-06 & 0.1949189 & 1.193779e-01 & 0.05485220 & 2.218465e-05 & 0.03997333 & ⋯ & 0.009385504 & 0.0005699245 & 3.642753e-06 & 5.771500e-06 & 3.161496e-05 & 1.697844e-04 & 9.411062e-05 & 7.977671e-04 & 0.0017514416 & 7.415854e-03\\\\\n", |
|
|
1203 |
"\tAD\\_006\\_non-lesional & 0.3455872 & 5.456890e-02 & 1.788298e-05 & 1.191249e-05 & 1.974307e-06 & 0.3673857 & 4.309040e-06 & 0.05119204 & 9.346593e-06 & 0.02979362 & ⋯ & 0.006644234 & 0.0003762136 & 9.238728e-06 & 1.684819e-05 & 8.784318e-06 & 8.974975e-05 & 4.714525e-06 & 2.745374e-04 & 0.0038684147 & 2.091884e-02\\\\\n", |
|
|
1204 |
"\\end{tabular}\n" |
|
|
1205 |
], |
|
|
1206 |
"text/markdown": [ |
|
|
1207 |
"\n", |
|
|
1208 |
"A matrix: 6 × 43 of type dbl\n", |
|
|
1209 |
"\n", |
|
|
1210 |
"| <!--/--> | Differentiated_KC | Differentiated_KC* | moDC_3 | LC_4 | Macro_1 | Undifferentiated_KC | Proliferating_KC | Melanocyte | LC_3 | F2 | ⋯ | VE3 | LE1 | LE2 | Schwann_1 | Plasma | ILC1_3 | Tc_IL13_IL22 | Mast_cell | LC_1 | ILC2 |\n", |
|
|
1211 |
"|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", |
|
|
1212 |
"| AD_004_lesional | 0.3662774 | 1.312058e-01 | 6.708646e-06 | 3.717296e-05 | 5.825453e-06 | 0.1264446 | 1.362556e-01 | 0.03576886 | 2.406624e-05 | 0.05135181 | ⋯ | 0.006611646 | 0.0006732736 | 1.490668e-05 | 4.785050e-06 | 3.931336e-05 | 3.819873e-05 | 3.408602e-04 | 9.439077e-05 | 0.0026323934 | 2.451205e-05 |\n", |
|
|
1213 |
"| AD_004_non-lesional | 0.3928262 | 2.618265e-05 | 5.599674e-06 | 7.574573e-06 | 4.370968e-06 | 0.3480040 | 2.652032e-06 | 0.05840978 | 7.400578e-06 | 0.06487322 | ⋯ | 0.007615818 | 0.0014346038 | 5.418886e-06 | 1.005671e-04 | 7.588047e-06 | 4.423925e-06 | 6.037044e-06 | 5.801191e-04 | 0.0022752372 | 2.733273e-02 |\n", |
|
|
1214 |
"| AD_005_lesional | 0.2981762 | 1.670936e-01 | 8.054659e-06 | 4.750676e-06 | 8.532281e-04 | 0.1403595 | 4.370058e-02 | 0.02417716 | 3.859848e-06 | 0.15608005 | ⋯ | 0.016135699 | 0.0002477471 | 4.129286e-06 | 1.264421e-05 | 4.137557e-05 | 2.131812e-03 | 8.699981e-04 | 1.008517e-03 | 0.0005743516 | 7.851201e-06 |\n", |
|
|
1215 |
"| AD_005_non-lesional | 0.3530325 | 6.536929e-06 | 2.192481e-06 | 2.695390e-06 | 5.496937e-06 | 0.3167838 | 1.605605e-06 | 0.03278031 | 3.072384e-06 | 0.09316595 | ⋯ | 0.020312463 | 0.0033077567 | 2.795274e-06 | 2.254781e-03 | 6.595185e-05 | 5.327391e-06 | 2.034712e-06 | 3.656972e-04 | 0.0006699619 | 1.318961e-02 |\n", |
|
|
1216 |
"| AD_006_lesional | 0.4528607 | 2.935955e-02 | 1.501790e-05 | 6.346779e-06 | 1.954708e-06 | 0.1949189 | 1.193779e-01 | 0.05485220 | 2.218465e-05 | 0.03997333 | ⋯ | 0.009385504 | 0.0005699245 | 3.642753e-06 | 5.771500e-06 | 3.161496e-05 | 1.697844e-04 | 9.411062e-05 | 7.977671e-04 | 0.0017514416 | 7.415854e-03 |\n", |
|
|
1217 |
"| AD_006_non-lesional | 0.3455872 | 5.456890e-02 | 1.788298e-05 | 1.191249e-05 | 1.974307e-06 | 0.3673857 | 4.309040e-06 | 0.05119204 | 9.346593e-06 | 0.02979362 | ⋯ | 0.006644234 | 0.0003762136 | 9.238728e-06 | 1.684819e-05 | 8.784318e-06 | 8.974975e-05 | 4.714525e-06 | 2.745374e-04 | 0.0038684147 | 2.091884e-02 |\n", |
|
|
1218 |
"\n" |
|
|
1219 |
], |
|
|
1220 |
"text/plain": [ |
|
|
1221 |
" Differentiated_KC Differentiated_KC* moDC_3 \n", |
|
|
1222 |
"AD_004_lesional 0.3662774 1.312058e-01 6.708646e-06\n", |
|
|
1223 |
"AD_004_non-lesional 0.3928262 2.618265e-05 5.599674e-06\n", |
|
|
1224 |
"AD_005_lesional 0.2981762 1.670936e-01 8.054659e-06\n", |
|
|
1225 |
"AD_005_non-lesional 0.3530325 6.536929e-06 2.192481e-06\n", |
|
|
1226 |
"AD_006_lesional 0.4528607 2.935955e-02 1.501790e-05\n", |
|
|
1227 |
"AD_006_non-lesional 0.3455872 5.456890e-02 1.788298e-05\n", |
|
|
1228 |
" LC_4 Macro_1 Undifferentiated_KC\n", |
|
|
1229 |
"AD_004_lesional 3.717296e-05 5.825453e-06 0.1264446 \n", |
|
|
1230 |
"AD_004_non-lesional 7.574573e-06 4.370968e-06 0.3480040 \n", |
|
|
1231 |
"AD_005_lesional 4.750676e-06 8.532281e-04 0.1403595 \n", |
|
|
1232 |
"AD_005_non-lesional 2.695390e-06 5.496937e-06 0.3167838 \n", |
|
|
1233 |
"AD_006_lesional 6.346779e-06 1.954708e-06 0.1949189 \n", |
|
|
1234 |
"AD_006_non-lesional 1.191249e-05 1.974307e-06 0.3673857 \n", |
|
|
1235 |
" Proliferating_KC Melanocyte LC_3 F2 ⋯\n", |
|
|
1236 |
"AD_004_lesional 1.362556e-01 0.03576886 2.406624e-05 0.05135181 ⋯\n", |
|
|
1237 |
"AD_004_non-lesional 2.652032e-06 0.05840978 7.400578e-06 0.06487322 ⋯\n", |
|
|
1238 |
"AD_005_lesional 4.370058e-02 0.02417716 3.859848e-06 0.15608005 ⋯\n", |
|
|
1239 |
"AD_005_non-lesional 1.605605e-06 0.03278031 3.072384e-06 0.09316595 ⋯\n", |
|
|
1240 |
"AD_006_lesional 1.193779e-01 0.05485220 2.218465e-05 0.03997333 ⋯\n", |
|
|
1241 |
"AD_006_non-lesional 4.309040e-06 0.05119204 9.346593e-06 0.02979362 ⋯\n", |
|
|
1242 |
" VE3 LE1 LE2 Schwann_1 \n", |
|
|
1243 |
"AD_004_lesional 0.006611646 0.0006732736 1.490668e-05 4.785050e-06\n", |
|
|
1244 |
"AD_004_non-lesional 0.007615818 0.0014346038 5.418886e-06 1.005671e-04\n", |
|
|
1245 |
"AD_005_lesional 0.016135699 0.0002477471 4.129286e-06 1.264421e-05\n", |
|
|
1246 |
"AD_005_non-lesional 0.020312463 0.0033077567 2.795274e-06 2.254781e-03\n", |
|
|
1247 |
"AD_006_lesional 0.009385504 0.0005699245 3.642753e-06 5.771500e-06\n", |
|
|
1248 |
"AD_006_non-lesional 0.006644234 0.0003762136 9.238728e-06 1.684819e-05\n", |
|
|
1249 |
" Plasma ILC1_3 Tc_IL13_IL22 Mast_cell \n", |
|
|
1250 |
"AD_004_lesional 3.931336e-05 3.819873e-05 3.408602e-04 9.439077e-05\n", |
|
|
1251 |
"AD_004_non-lesional 7.588047e-06 4.423925e-06 6.037044e-06 5.801191e-04\n", |
|
|
1252 |
"AD_005_lesional 4.137557e-05 2.131812e-03 8.699981e-04 1.008517e-03\n", |
|
|
1253 |
"AD_005_non-lesional 6.595185e-05 5.327391e-06 2.034712e-06 3.656972e-04\n", |
|
|
1254 |
"AD_006_lesional 3.161496e-05 1.697844e-04 9.411062e-05 7.977671e-04\n", |
|
|
1255 |
"AD_006_non-lesional 8.784318e-06 8.974975e-05 4.714525e-06 2.745374e-04\n", |
|
|
1256 |
" LC_1 ILC2 \n", |
|
|
1257 |
"AD_004_lesional 0.0026323934 2.451205e-05\n", |
|
|
1258 |
"AD_004_non-lesional 0.0022752372 2.733273e-02\n", |
|
|
1259 |
"AD_005_lesional 0.0005743516 7.851201e-06\n", |
|
|
1260 |
"AD_005_non-lesional 0.0006699619 1.318961e-02\n", |
|
|
1261 |
"AD_006_lesional 0.0017514416 7.415854e-03\n", |
|
|
1262 |
"AD_006_non-lesional 0.0038684147 2.091884e-02" |
|
|
1263 |
] |
|
|
1264 |
}, |
|
|
1265 |
"metadata": {}, |
|
|
1266 |
"output_type": "display_data" |
|
|
1267 |
} |
|
|
1268 |
], |
|
|
1269 |
"source": [ |
|
|
1270 |
"Est_1 <- get.fraction(bp=E_1,\n", |
|
|
1271 |
" which.theta=\"final\",\n", |
|
|
1272 |
" state.or.type=\"type\")\n", |
|
|
1273 |
"\n", |
|
|
1274 |
"head(Est_1)" |
|
|
1275 |
] |
|
|
1276 |
}, |
|
|
1277 |
{ |
|
|
1278 |
"cell_type": "code", |
|
|
1279 |
"execution_count": 5, |
|
|
1280 |
"id": "still-transformation", |
|
|
1281 |
"metadata": {}, |
|
|
1282 |
"outputs": [ |
|
|
1283 |
{ |
|
|
1284 |
"data": { |
|
|
1285 |
"text/html": [ |
|
|
1286 |
"<table class=\"dataframe\">\n", |
|
|
1287 |
"<caption>A matrix: 6 × 43 of type dbl</caption>\n", |
|
|
1288 |
"<thead>\n", |
|
|
1289 |
"\t<tr><th></th><th scope=col>Differentiated_KC</th><th scope=col>Differentiated_KC*</th><th scope=col>moDC_3</th><th scope=col>LC_4</th><th scope=col>Macro_1</th><th scope=col>Undifferentiated_KC</th><th scope=col>Proliferating_KC</th><th scope=col>Melanocyte</th><th scope=col>LC_3</th><th scope=col>F2</th><th scope=col>⋯</th><th scope=col>VE3</th><th scope=col>LE1</th><th scope=col>LE2</th><th scope=col>Schwann_1</th><th scope=col>Plasma</th><th scope=col>ILC1_3</th><th scope=col>Tc_IL13_IL22</th><th scope=col>Mast_cell</th><th scope=col>LC_1</th><th scope=col>ILC2</th></tr>\n", |
|
|
1290 |
"</thead>\n", |
|
|
1291 |
"<tbody>\n", |
|
|
1292 |
"\t<tr><th scope=row>B266</th><td>2.119718e-01</td><td>1.869809e-05</td><td>1.481410e-06</td><td>7.658318e-07</td><td>7.257234e-07</td><td>7.556713e-02</td><td>1.903390e-01</td><td>0.0159757319</td><td>3.314782e-06</td><td>0.1881469</td><td>⋯</td><td>0.03539100</td><td>2.312857e-03</td><td>4.641601e-06</td><td>3.555179e-05</td><td>1.207942e-06</td><td>3.600180e-03</td><td>5.198690e-04</td><td>4.405171e-03</td><td>8.544995e-04</td><td>2.671364e-02</td></tr>\n", |
|
|
1293 |
"\t<tr><th scope=row>B355</th><td>9.106552e-02</td><td>1.621260e-03</td><td>3.461984e-04</td><td>2.997907e-03</td><td>8.906580e-06</td><td>1.993940e-02</td><td>6.125457e-02</td><td>0.0063235624</td><td>5.876288e-04</td><td>0.2382639</td><td>⋯</td><td>0.03721784</td><td>5.303112e-03</td><td>1.042526e-05</td><td>2.844381e-06</td><td>3.189285e-06</td><td>9.463511e-06</td><td>3.034060e-06</td><td>1.469652e-03</td><td>4.696655e-06</td><td>3.899728e-02</td></tr>\n", |
|
|
1294 |
"\t<tr><th scope=row>B470</th><td>1.150666e-01</td><td>1.280582e-06</td><td>1.556115e-05</td><td>8.515041e-07</td><td>1.670884e-06</td><td>2.585818e-02</td><td>2.282728e-06</td><td>0.0042571398</td><td>1.840257e-06</td><td>0.3929611</td><td>⋯</td><td>0.07294282</td><td>6.008507e-03</td><td>3.231595e-06</td><td>5.908072e-02</td><td>1.934001e-06</td><td>8.209818e-06</td><td>3.404187e-06</td><td>4.869677e-03</td><td>5.563309e-04</td><td>2.765005e-02</td></tr>\n", |
|
|
1295 |
"\t<tr><th scope=row>B520-2</th><td>5.904629e-02</td><td>9.934859e-04</td><td>3.725731e-03</td><td>7.201635e-06</td><td>6.349614e-03</td><td>3.325745e-04</td><td>1.308342e-02</td><td>0.0023159478</td><td>4.162887e-06</td><td>0.2931459</td><td>⋯</td><td>0.02803347</td><td>3.036215e-04</td><td>1.129700e-02</td><td>1.532545e-06</td><td>3.737218e-06</td><td>2.311230e-05</td><td>1.320988e-06</td><td>1.459503e-03</td><td>1.603522e-06</td><td>2.363279e-06</td></tr>\n", |
|
|
1296 |
"\t<tr><th scope=row>L107</th><td>2.750736e-02</td><td>4.415304e-04</td><td>1.254391e-06</td><td>9.077557e-07</td><td>1.893694e-01</td><td>9.731948e-07</td><td>4.188229e-02</td><td>0.0020695576</td><td>1.665907e-06</td><td>0.1190852</td><td>⋯</td><td>0.03914342</td><td>6.637037e-05</td><td>7.999864e-04</td><td>9.310216e-05</td><td>1.118049e-05</td><td>2.658599e-06</td><td>2.111217e-06</td><td>7.390989e-07</td><td>6.563166e-07</td><td>1.362055e-06</td></tr>\n", |
|
|
1297 |
"\t<tr><th scope=row>L112</th><td>3.701065e-06</td><td>7.517329e-03</td><td>2.140816e-06</td><td>6.988287e-03</td><td>1.848110e-03</td><td>8.818755e-07</td><td>1.473319e-06</td><td>0.0002744663</td><td>2.879326e-06</td><td>0.2697724</td><td>⋯</td><td>0.03078808</td><td>2.115682e-04</td><td>1.994231e-06</td><td>1.161065e-06</td><td>1.124091e-01</td><td>3.240436e-06</td><td>2.350791e-06</td><td>5.862010e-06</td><td>8.544899e-07</td><td>3.234881e-06</td></tr>\n", |
|
|
1298 |
"</tbody>\n", |
|
|
1299 |
"</table>\n" |
|
|
1300 |
], |
|
|
1301 |
"text/latex": [ |
|
|
1302 |
"A matrix: 6 × 43 of type dbl\n", |
|
|
1303 |
"\\begin{tabular}{r|lllllllllllllllllllll}\n", |
|
|
1304 |
" & Differentiated\\_KC & Differentiated\\_KC* & moDC\\_3 & LC\\_4 & Macro\\_1 & Undifferentiated\\_KC & Proliferating\\_KC & Melanocyte & LC\\_3 & F2 & ⋯ & VE3 & LE1 & LE2 & Schwann\\_1 & Plasma & ILC1\\_3 & Tc\\_IL13\\_IL22 & Mast\\_cell & LC\\_1 & ILC2\\\\\n", |
|
|
1305 |
"\\hline\n", |
|
|
1306 |
"\tB266 & 2.119718e-01 & 1.869809e-05 & 1.481410e-06 & 7.658318e-07 & 7.257234e-07 & 7.556713e-02 & 1.903390e-01 & 0.0159757319 & 3.314782e-06 & 0.1881469 & ⋯ & 0.03539100 & 2.312857e-03 & 4.641601e-06 & 3.555179e-05 & 1.207942e-06 & 3.600180e-03 & 5.198690e-04 & 4.405171e-03 & 8.544995e-04 & 2.671364e-02\\\\\n", |
|
|
1307 |
"\tB355 & 9.106552e-02 & 1.621260e-03 & 3.461984e-04 & 2.997907e-03 & 8.906580e-06 & 1.993940e-02 & 6.125457e-02 & 0.0063235624 & 5.876288e-04 & 0.2382639 & ⋯ & 0.03721784 & 5.303112e-03 & 1.042526e-05 & 2.844381e-06 & 3.189285e-06 & 9.463511e-06 & 3.034060e-06 & 1.469652e-03 & 4.696655e-06 & 3.899728e-02\\\\\n", |
|
|
1308 |
"\tB470 & 1.150666e-01 & 1.280582e-06 & 1.556115e-05 & 8.515041e-07 & 1.670884e-06 & 2.585818e-02 & 2.282728e-06 & 0.0042571398 & 1.840257e-06 & 0.3929611 & ⋯ & 0.07294282 & 6.008507e-03 & 3.231595e-06 & 5.908072e-02 & 1.934001e-06 & 8.209818e-06 & 3.404187e-06 & 4.869677e-03 & 5.563309e-04 & 2.765005e-02\\\\\n", |
|
|
1309 |
"\tB520-2 & 5.904629e-02 & 9.934859e-04 & 3.725731e-03 & 7.201635e-06 & 6.349614e-03 & 3.325745e-04 & 1.308342e-02 & 0.0023159478 & 4.162887e-06 & 0.2931459 & ⋯ & 0.02803347 & 3.036215e-04 & 1.129700e-02 & 1.532545e-06 & 3.737218e-06 & 2.311230e-05 & 1.320988e-06 & 1.459503e-03 & 1.603522e-06 & 2.363279e-06\\\\\n", |
|
|
1310 |
"\tL107 & 2.750736e-02 & 4.415304e-04 & 1.254391e-06 & 9.077557e-07 & 1.893694e-01 & 9.731948e-07 & 4.188229e-02 & 0.0020695576 & 1.665907e-06 & 0.1190852 & ⋯ & 0.03914342 & 6.637037e-05 & 7.999864e-04 & 9.310216e-05 & 1.118049e-05 & 2.658599e-06 & 2.111217e-06 & 7.390989e-07 & 6.563166e-07 & 1.362055e-06\\\\\n", |
|
|
1311 |
"\tL112 & 3.701065e-06 & 7.517329e-03 & 2.140816e-06 & 6.988287e-03 & 1.848110e-03 & 8.818755e-07 & 1.473319e-06 & 0.0002744663 & 2.879326e-06 & 0.2697724 & ⋯ & 0.03078808 & 2.115682e-04 & 1.994231e-06 & 1.161065e-06 & 1.124091e-01 & 3.240436e-06 & 2.350791e-06 & 5.862010e-06 & 8.544899e-07 & 3.234881e-06\\\\\n", |
|
|
1312 |
"\\end{tabular}\n" |
|
|
1313 |
], |
|
|
1314 |
"text/markdown": [ |
|
|
1315 |
"\n", |
|
|
1316 |
"A matrix: 6 × 43 of type dbl\n", |
|
|
1317 |
"\n", |
|
|
1318 |
"| <!--/--> | Differentiated_KC | Differentiated_KC* | moDC_3 | LC_4 | Macro_1 | Undifferentiated_KC | Proliferating_KC | Melanocyte | LC_3 | F2 | ⋯ | VE3 | LE1 | LE2 | Schwann_1 | Plasma | ILC1_3 | Tc_IL13_IL22 | Mast_cell | LC_1 | ILC2 |\n", |
|
|
1319 |
"|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", |
|
|
1320 |
"| B266 | 2.119718e-01 | 1.869809e-05 | 1.481410e-06 | 7.658318e-07 | 7.257234e-07 | 7.556713e-02 | 1.903390e-01 | 0.0159757319 | 3.314782e-06 | 0.1881469 | ⋯ | 0.03539100 | 2.312857e-03 | 4.641601e-06 | 3.555179e-05 | 1.207942e-06 | 3.600180e-03 | 5.198690e-04 | 4.405171e-03 | 8.544995e-04 | 2.671364e-02 |\n", |
|
|
1321 |
"| B355 | 9.106552e-02 | 1.621260e-03 | 3.461984e-04 | 2.997907e-03 | 8.906580e-06 | 1.993940e-02 | 6.125457e-02 | 0.0063235624 | 5.876288e-04 | 0.2382639 | ⋯ | 0.03721784 | 5.303112e-03 | 1.042526e-05 | 2.844381e-06 | 3.189285e-06 | 9.463511e-06 | 3.034060e-06 | 1.469652e-03 | 4.696655e-06 | 3.899728e-02 |\n", |
|
|
1322 |
"| B470 | 1.150666e-01 | 1.280582e-06 | 1.556115e-05 | 8.515041e-07 | 1.670884e-06 | 2.585818e-02 | 2.282728e-06 | 0.0042571398 | 1.840257e-06 | 0.3929611 | ⋯ | 0.07294282 | 6.008507e-03 | 3.231595e-06 | 5.908072e-02 | 1.934001e-06 | 8.209818e-06 | 3.404187e-06 | 4.869677e-03 | 5.563309e-04 | 2.765005e-02 |\n", |
|
|
1323 |
"| B520-2 | 5.904629e-02 | 9.934859e-04 | 3.725731e-03 | 7.201635e-06 | 6.349614e-03 | 3.325745e-04 | 1.308342e-02 | 0.0023159478 | 4.162887e-06 | 0.2931459 | ⋯ | 0.02803347 | 3.036215e-04 | 1.129700e-02 | 1.532545e-06 | 3.737218e-06 | 2.311230e-05 | 1.320988e-06 | 1.459503e-03 | 1.603522e-06 | 2.363279e-06 |\n", |
|
|
1324 |
"| L107 | 2.750736e-02 | 4.415304e-04 | 1.254391e-06 | 9.077557e-07 | 1.893694e-01 | 9.731948e-07 | 4.188229e-02 | 0.0020695576 | 1.665907e-06 | 0.1190852 | ⋯ | 0.03914342 | 6.637037e-05 | 7.999864e-04 | 9.310216e-05 | 1.118049e-05 | 2.658599e-06 | 2.111217e-06 | 7.390989e-07 | 6.563166e-07 | 1.362055e-06 |\n", |
|
|
1325 |
"| L112 | 3.701065e-06 | 7.517329e-03 | 2.140816e-06 | 6.988287e-03 | 1.848110e-03 | 8.818755e-07 | 1.473319e-06 | 0.0002744663 | 2.879326e-06 | 0.2697724 | ⋯ | 0.03078808 | 2.115682e-04 | 1.994231e-06 | 1.161065e-06 | 1.124091e-01 | 3.240436e-06 | 2.350791e-06 | 5.862010e-06 | 8.544899e-07 | 3.234881e-06 |\n", |
|
|
1326 |
"\n" |
|
|
1327 |
], |
|
|
1328 |
"text/plain": [ |
|
|
1329 |
" Differentiated_KC Differentiated_KC* moDC_3 LC_4 \n", |
|
|
1330 |
"B266 2.119718e-01 1.869809e-05 1.481410e-06 7.658318e-07\n", |
|
|
1331 |
"B355 9.106552e-02 1.621260e-03 3.461984e-04 2.997907e-03\n", |
|
|
1332 |
"B470 1.150666e-01 1.280582e-06 1.556115e-05 8.515041e-07\n", |
|
|
1333 |
"B520-2 5.904629e-02 9.934859e-04 3.725731e-03 7.201635e-06\n", |
|
|
1334 |
"L107 2.750736e-02 4.415304e-04 1.254391e-06 9.077557e-07\n", |
|
|
1335 |
"L112 3.701065e-06 7.517329e-03 2.140816e-06 6.988287e-03\n", |
|
|
1336 |
" Macro_1 Undifferentiated_KC Proliferating_KC Melanocyte \n", |
|
|
1337 |
"B266 7.257234e-07 7.556713e-02 1.903390e-01 0.0159757319\n", |
|
|
1338 |
"B355 8.906580e-06 1.993940e-02 6.125457e-02 0.0063235624\n", |
|
|
1339 |
"B470 1.670884e-06 2.585818e-02 2.282728e-06 0.0042571398\n", |
|
|
1340 |
"B520-2 6.349614e-03 3.325745e-04 1.308342e-02 0.0023159478\n", |
|
|
1341 |
"L107 1.893694e-01 9.731948e-07 4.188229e-02 0.0020695576\n", |
|
|
1342 |
"L112 1.848110e-03 8.818755e-07 1.473319e-06 0.0002744663\n", |
|
|
1343 |
" LC_3 F2 ⋯ VE3 LE1 LE2 \n", |
|
|
1344 |
"B266 3.314782e-06 0.1881469 ⋯ 0.03539100 2.312857e-03 4.641601e-06\n", |
|
|
1345 |
"B355 5.876288e-04 0.2382639 ⋯ 0.03721784 5.303112e-03 1.042526e-05\n", |
|
|
1346 |
"B470 1.840257e-06 0.3929611 ⋯ 0.07294282 6.008507e-03 3.231595e-06\n", |
|
|
1347 |
"B520-2 4.162887e-06 0.2931459 ⋯ 0.02803347 3.036215e-04 1.129700e-02\n", |
|
|
1348 |
"L107 1.665907e-06 0.1190852 ⋯ 0.03914342 6.637037e-05 7.999864e-04\n", |
|
|
1349 |
"L112 2.879326e-06 0.2697724 ⋯ 0.03078808 2.115682e-04 1.994231e-06\n", |
|
|
1350 |
" Schwann_1 Plasma ILC1_3 Tc_IL13_IL22 Mast_cell \n", |
|
|
1351 |
"B266 3.555179e-05 1.207942e-06 3.600180e-03 5.198690e-04 4.405171e-03\n", |
|
|
1352 |
"B355 2.844381e-06 3.189285e-06 9.463511e-06 3.034060e-06 1.469652e-03\n", |
|
|
1353 |
"B470 5.908072e-02 1.934001e-06 8.209818e-06 3.404187e-06 4.869677e-03\n", |
|
|
1354 |
"B520-2 1.532545e-06 3.737218e-06 2.311230e-05 1.320988e-06 1.459503e-03\n", |
|
|
1355 |
"L107 9.310216e-05 1.118049e-05 2.658599e-06 2.111217e-06 7.390989e-07\n", |
|
|
1356 |
"L112 1.161065e-06 1.124091e-01 3.240436e-06 2.350791e-06 5.862010e-06\n", |
|
|
1357 |
" LC_1 ILC2 \n", |
|
|
1358 |
"B266 8.544995e-04 2.671364e-02\n", |
|
|
1359 |
"B355 4.696655e-06 3.899728e-02\n", |
|
|
1360 |
"B470 5.563309e-04 2.765005e-02\n", |
|
|
1361 |
"B520-2 1.603522e-06 2.363279e-06\n", |
|
|
1362 |
"L107 6.563166e-07 1.362055e-06\n", |
|
|
1363 |
"L112 8.544899e-07 3.234881e-06" |
|
|
1364 |
] |
|
|
1365 |
}, |
|
|
1366 |
"metadata": {}, |
|
|
1367 |
"output_type": "display_data" |
|
|
1368 |
} |
|
|
1369 |
], |
|
|
1370 |
"source": [ |
|
|
1371 |
"Est_2 <- get.fraction(bp=E_2,\n", |
|
|
1372 |
" which.theta=\"final\",\n", |
|
|
1373 |
" state.or.type=\"type\")\n", |
|
|
1374 |
"\n", |
|
|
1375 |
"head(Est_2)" |
|
|
1376 |
] |
|
|
1377 |
}, |
|
|
1378 |
{ |
|
|
1379 |
"cell_type": "code", |
|
|
1380 |
"execution_count": 37, |
|
|
1381 |
"id": "agreed-funds", |
|
|
1382 |
"metadata": {}, |
|
|
1383 |
"outputs": [ |
|
|
1384 |
{ |
|
|
1385 |
"data": { |
|
|
1386 |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nAElFTkSuQmCC", |
|
|
1387 |
"text/plain": [ |
|
|
1388 |
"plot without title" |
|
|
1389 |
] |
|
|
1390 |
}, |
|
|
1391 |
"metadata": { |
|
|
1392 |
"image/png": { |
|
|
1393 |
"height": 420, |
|
|
1394 |
"width": 420 |
|
|
1395 |
} |
|
|
1396 |
}, |
|
|
1397 |
"output_type": "display_data" |
|
|
1398 |
} |
|
|
1399 |
], |
|
|
1400 |
"source": [ |
|
|
1401 |
"celltype <- \"B_cell\"\n", |
|
|
1402 |
"Est_1_B <- data.frame(prop = Est_1[, celltype], sample = \"Healthy\")\n", |
|
|
1403 |
"Est_1_B[grep('^AD.*non-lesional$', rownames(Est_1_B)), 'sample'] <- 'AD_nonlesion'\n", |
|
|
1404 |
"Est_1_B[grep('^AD.*_lesional$', rownames(Est_1_B)), 'sample'] <- 'AD_lesion'\n", |
|
|
1405 |
"Est_1_B[grep('^AD.*_chronic_lesion$', rownames(Est_1_B)), 'sample'] <- 'AD_lesion'\n", |
|
|
1406 |
"Est_1_B[grep('^PSO.*non-lesional$', rownames(Est_1_B)), 'sample'] <- 'PS_nonlesion'\n", |
|
|
1407 |
"Est_1_B[grep('^PSO.*_lesional$', rownames(Est_1_B)), 'sample'] <- 'PS_lesion'\n", |
|
|
1408 |
"\n", |
|
|
1409 |
"\n", |
|
|
1410 |
"#celltype <- \"B/plasma\"\n", |
|
|
1411 |
"Est_2_B <- data.frame(prop = Est_2[, celltype], sample = \"CTCL\")\n", |
|
|
1412 |
"\n", |
|
|
1413 |
"Est <- rbind(Est_1_B, Est_2_B)\n", |
|
|
1414 |
"Est$sample <- factor(Est$sample, levels = c('Healthy', 'AD_nonlesion', 'AD_lesion',\n", |
|
|
1415 |
" 'PS_nonlesion', 'PS_lesion','CTCL'))\n", |
|
|
1416 |
"\n", |
|
|
1417 |
"ggplot(data = Est,aes(x = sample, y = prop, fill = sample))+\n", |
|
|
1418 |
" geom_boxplot(aes(group=sample), width=0.5, outlier.colour = \"white\", outlier.size = 0.5)+\n", |
|
|
1419 |
" geom_point(position=position_jitter(width = 0.15,height = 0),alpha=0.8,shape=19, color = 'grey60', size = 1)+\n", |
|
|
1420 |
" #geom_quasirandom(method = \"quasirandom\", dodge.width=0.8, size=1.2, shape=20, alpha=1) +\n", |
|
|
1421 |
" scale_fill_manual(values = c(\"#E07469\",\"#97B2DD\", \"#A1C15F\",\"#1CB4B8\", \"#6692CC\",\"#A46DA6\")) +\n", |
|
|
1422 |
"theme_bw()\n", |
|
|
1423 |
"\n", |
|
|
1424 |
"#ggsave('./figures/Decov_moDC3.pdf', width = 6, height = 5)" |
|
|
1425 |
] |
|
|
1426 |
}, |
|
|
1427 |
{ |
|
|
1428 |
"cell_type": "code", |
|
|
1429 |
"execution_count": 42, |
|
|
1430 |
"id": "editorial-founder", |
|
|
1431 |
"metadata": {}, |
|
|
1432 |
"outputs": [ |
|
|
1433 |
{ |
|
|
1434 |
"data": { |
|
|
1435 |
"text/plain": [ |
|
|
1436 |
"\n", |
|
|
1437 |
"\tWilcoxon rank sum exact test\n", |
|
|
1438 |
"\n", |
|
|
1439 |
"data: c1 and c2\n", |
|
|
1440 |
"W = 1549, p-value = 2.468e-08\n", |
|
|
1441 |
"alternative hypothesis: true location shift is not equal to 0\n" |
|
|
1442 |
] |
|
|
1443 |
}, |
|
|
1444 |
"metadata": {}, |
|
|
1445 |
"output_type": "display_data" |
|
|
1446 |
} |
|
|
1447 |
], |
|
|
1448 |
"source": [ |
|
|
1449 |
"c1 <- Est$prop[which(Est$sample == \"CTCL\")]\n", |
|
|
1450 |
"c2 <- Est$prop[which(Est$sample == \"Healthy\")]\n", |
|
|
1451 |
"\n", |
|
|
1452 |
"wilcox.test(c1,c2)" |
|
|
1453 |
] |
|
|
1454 |
}, |
|
|
1455 |
{ |
|
|
1456 |
"cell_type": "markdown", |
|
|
1457 |
"id": "massive-skiing", |
|
|
1458 |
"metadata": {}, |
|
|
1459 |
"source": [ |
|
|
1460 |
"### Prognostic data" |
|
|
1461 |
] |
|
|
1462 |
}, |
|
|
1463 |
{ |
|
|
1464 |
"cell_type": "code", |
|
|
1465 |
"execution_count": 63, |
|
|
1466 |
"id": "familiar-cross", |
|
|
1467 |
"metadata": {}, |
|
|
1468 |
"outputs": [], |
|
|
1469 |
"source": [ |
|
|
1470 |
"data <- read.table(\"/home/jovyan/farm/CTCL/deconvolution/PKU_metadata_PFS_OS.xls\", header = T)\n", |
|
|
1471 |
"data <- data[,1:9]" |
|
|
1472 |
] |
|
|
1473 |
}, |
|
|
1474 |
{ |
|
|
1475 |
"cell_type": "code", |
|
|
1476 |
"execution_count": 64, |
|
|
1477 |
"id": "respective-ceiling", |
|
|
1478 |
"metadata": {}, |
|
|
1479 |
"outputs": [ |
|
|
1480 |
{ |
|
|
1481 |
"data": { |
|
|
1482 |
"text/html": [ |
|
|
1483 |
"<table class=\"dataframe\">\n", |
|
|
1484 |
"<caption>A data.frame: 6 × 9</caption>\n", |
|
|
1485 |
"<thead>\n", |
|
|
1486 |
"\t<tr><th></th><th scope=col>Patient</th><th scope=col>Sex</th><th scope=col>Age</th><th scope=col>LCT</th><th scope=col>Stage</th><th scope=col>PFS_time</th><th scope=col>PFS</th><th scope=col>OS_time</th><th scope=col>OS</th></tr>\n", |
|
|
1487 |
"\t<tr><th></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><int></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th></tr>\n", |
|
|
1488 |
"</thead>\n", |
|
|
1489 |
"<tbody>\n", |
|
|
1490 |
"\t<tr><th scope=row>1</th><td>B266</td><td>F</td><td>70</td><td>no </td><td>IIB</td><td>55</td><td>1</td><td>56</td><td>1</td></tr>\n", |
|
|
1491 |
"\t<tr><th scope=row>2</th><td>B355</td><td>M</td><td>55</td><td>LCT</td><td>IIB</td><td>10</td><td>1</td><td>10</td><td>1</td></tr>\n", |
|
|
1492 |
"\t<tr><th scope=row>3</th><td>B470</td><td>M</td><td>45</td><td>no </td><td>IIB</td><td>32</td><td>0</td><td>32</td><td>0</td></tr>\n", |
|
|
1493 |
"\t<tr><th scope=row>4</th><td>L107</td><td>M</td><td>52</td><td>LCT</td><td>IIB</td><td>12</td><td>0</td><td>12</td><td>0</td></tr>\n", |
|
|
1494 |
"\t<tr><th scope=row>5</th><td>L112</td><td>M</td><td>21</td><td>LCT</td><td>IIB</td><td> 4</td><td>1</td><td>22</td><td>1</td></tr>\n", |
|
|
1495 |
"\t<tr><th scope=row>6</th><td>L149</td><td>F</td><td>15</td><td>LCT</td><td>IIB</td><td>24</td><td>1</td><td>54</td><td>1</td></tr>\n", |
|
|
1496 |
"</tbody>\n", |
|
|
1497 |
"</table>\n" |
|
|
1498 |
], |
|
|
1499 |
"text/latex": [ |
|
|
1500 |
"A data.frame: 6 × 9\n", |
|
|
1501 |
"\\begin{tabular}{r|lllllllll}\n", |
|
|
1502 |
" & Patient & Sex & Age & LCT & Stage & PFS\\_time & PFS & OS\\_time & OS\\\\\n", |
|
|
1503 |
" & <chr> & <chr> & <int> & <chr> & <chr> & <int> & <int> & <int> & <int>\\\\\n", |
|
|
1504 |
"\\hline\n", |
|
|
1505 |
"\t1 & B266 & F & 70 & no & IIB & 55 & 1 & 56 & 1\\\\\n", |
|
|
1506 |
"\t2 & B355 & M & 55 & LCT & IIB & 10 & 1 & 10 & 1\\\\\n", |
|
|
1507 |
"\t3 & B470 & M & 45 & no & IIB & 32 & 0 & 32 & 0\\\\\n", |
|
|
1508 |
"\t4 & L107 & M & 52 & LCT & IIB & 12 & 0 & 12 & 0\\\\\n", |
|
|
1509 |
"\t5 & L112 & M & 21 & LCT & IIB & 4 & 1 & 22 & 1\\\\\n", |
|
|
1510 |
"\t6 & L149 & F & 15 & LCT & IIB & 24 & 1 & 54 & 1\\\\\n", |
|
|
1511 |
"\\end{tabular}\n" |
|
|
1512 |
], |
|
|
1513 |
"text/markdown": [ |
|
|
1514 |
"\n", |
|
|
1515 |
"A data.frame: 6 × 9\n", |
|
|
1516 |
"\n", |
|
|
1517 |
"| <!--/--> | Patient <chr> | Sex <chr> | Age <int> | LCT <chr> | Stage <chr> | PFS_time <int> | PFS <int> | OS_time <int> | OS <int> |\n", |
|
|
1518 |
"|---|---|---|---|---|---|---|---|---|---|\n", |
|
|
1519 |
"| 1 | B266 | F | 70 | no | IIB | 55 | 1 | 56 | 1 |\n", |
|
|
1520 |
"| 2 | B355 | M | 55 | LCT | IIB | 10 | 1 | 10 | 1 |\n", |
|
|
1521 |
"| 3 | B470 | M | 45 | no | IIB | 32 | 0 | 32 | 0 |\n", |
|
|
1522 |
"| 4 | L107 | M | 52 | LCT | IIB | 12 | 0 | 12 | 0 |\n", |
|
|
1523 |
"| 5 | L112 | M | 21 | LCT | IIB | 4 | 1 | 22 | 1 |\n", |
|
|
1524 |
"| 6 | L149 | F | 15 | LCT | IIB | 24 | 1 | 54 | 1 |\n", |
|
|
1525 |
"\n" |
|
|
1526 |
], |
|
|
1527 |
"text/plain": [ |
|
|
1528 |
" Patient Sex Age LCT Stage PFS_time PFS OS_time OS\n", |
|
|
1529 |
"1 B266 F 70 no IIB 55 1 56 1 \n", |
|
|
1530 |
"2 B355 M 55 LCT IIB 10 1 10 1 \n", |
|
|
1531 |
"3 B470 M 45 no IIB 32 0 32 0 \n", |
|
|
1532 |
"4 L107 M 52 LCT IIB 12 0 12 0 \n", |
|
|
1533 |
"5 L112 M 21 LCT IIB 4 1 22 1 \n", |
|
|
1534 |
"6 L149 F 15 LCT IIB 24 1 54 1 " |
|
|
1535 |
] |
|
|
1536 |
}, |
|
|
1537 |
"metadata": {}, |
|
|
1538 |
"output_type": "display_data" |
|
|
1539 |
} |
|
|
1540 |
], |
|
|
1541 |
"source": [ |
|
|
1542 |
"data %>% head()" |
|
|
1543 |
] |
|
|
1544 |
}, |
|
|
1545 |
{ |
|
|
1546 |
"cell_type": "code", |
|
|
1547 |
"execution_count": 65, |
|
|
1548 |
"id": "revised-venice", |
|
|
1549 |
"metadata": {}, |
|
|
1550 |
"outputs": [], |
|
|
1551 |
"source": [ |
|
|
1552 |
"E_2 <- readRDS('/lustre/scratch126/cellgen/team205/rl20/CTCL/deconvolution_revision/Deconv_PKU_CTCL_integrated_atlas_sub0.08_DEGs.rds')\n", |
|
|
1553 |
"\n", |
|
|
1554 |
"Est_2 <- get.fraction(bp=E_2,\n", |
|
|
1555 |
" which.theta=\"final\",\n", |
|
|
1556 |
" state.or.type=\"type\")" |
|
|
1557 |
] |
|
|
1558 |
}, |
|
|
1559 |
{ |
|
|
1560 |
"cell_type": "code", |
|
|
1561 |
"execution_count": 66, |
|
|
1562 |
"id": "charming-worcester", |
|
|
1563 |
"metadata": {}, |
|
|
1564 |
"outputs": [ |
|
|
1565 |
{ |
|
|
1566 |
"data": { |
|
|
1567 |
"text/html": [ |
|
|
1568 |
"<style>\n", |
|
|
1569 |
".list-inline {list-style: none; margin:0; padding: 0}\n", |
|
|
1570 |
".list-inline>li {display: inline-block}\n", |
|
|
1571 |
".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n", |
|
|
1572 |
"</style>\n", |
|
|
1573 |
"<ol class=list-inline><li>48</li><li>2</li></ol>\n" |
|
|
1574 |
], |
|
|
1575 |
"text/latex": [ |
|
|
1576 |
"\\begin{enumerate*}\n", |
|
|
1577 |
"\\item 48\n", |
|
|
1578 |
"\\item 2\n", |
|
|
1579 |
"\\end{enumerate*}\n" |
|
|
1580 |
], |
|
|
1581 |
"text/markdown": [ |
|
|
1582 |
"1. 48\n", |
|
|
1583 |
"2. 2\n", |
|
|
1584 |
"\n", |
|
|
1585 |
"\n" |
|
|
1586 |
], |
|
|
1587 |
"text/plain": [ |
|
|
1588 |
"[1] 48 2" |
|
|
1589 |
] |
|
|
1590 |
}, |
|
|
1591 |
"metadata": {}, |
|
|
1592 |
"output_type": "display_data" |
|
|
1593 |
} |
|
|
1594 |
], |
|
|
1595 |
"source": [ |
|
|
1596 |
"Est_2 <- Est_2[-which(rownames(Est_2)=='B520-2'), c('B_cell', 'VE2')] ## remove a replecate sample (B520-2 and B520)\n", |
|
|
1597 |
"dim(Est_2)" |
|
|
1598 |
] |
|
|
1599 |
}, |
|
|
1600 |
{ |
|
|
1601 |
"cell_type": "code", |
|
|
1602 |
"execution_count": 67, |
|
|
1603 |
"id": "canadian-headquarters", |
|
|
1604 |
"metadata": {}, |
|
|
1605 |
"outputs": [ |
|
|
1606 |
{ |
|
|
1607 |
"data": { |
|
|
1608 |
"text/html": [ |
|
|
1609 |
"<table class=\"dataframe\">\n", |
|
|
1610 |
"<caption>A data.frame: 6 × 10</caption>\n", |
|
|
1611 |
"<thead>\n", |
|
|
1612 |
"\t<tr><th></th><th scope=col>Patient</th><th scope=col>Sex</th><th scope=col>Age</th><th scope=col>LCT</th><th scope=col>Stage</th><th scope=col>PFS_time</th><th scope=col>PFS</th><th scope=col>OS_time</th><th scope=col>OS</th><th scope=col>B_cell</th></tr>\n", |
|
|
1613 |
"\t<tr><th></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><int></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><dbl></th></tr>\n", |
|
|
1614 |
"</thead>\n", |
|
|
1615 |
"<tbody>\n", |
|
|
1616 |
"\t<tr><th scope=row>B266</th><td>B266</td><td>F</td><td>70</td><td>no </td><td>IIB</td><td>55</td><td>1</td><td>56</td><td>1</td><td>3.082533e-06</td></tr>\n", |
|
|
1617 |
"\t<tr><th scope=row>B355</th><td>B355</td><td>M</td><td>55</td><td>LCT</td><td>IIB</td><td>10</td><td>1</td><td>10</td><td>1</td><td>1.736493e-02</td></tr>\n", |
|
|
1618 |
"\t<tr><th scope=row>B470</th><td>B470</td><td>M</td><td>45</td><td>no </td><td>IIB</td><td>32</td><td>0</td><td>32</td><td>0</td><td>7.869920e-04</td></tr>\n", |
|
|
1619 |
"\t<tr><th scope=row>L107</th><td>L107</td><td>M</td><td>52</td><td>LCT</td><td>IIB</td><td>12</td><td>0</td><td>12</td><td>0</td><td>3.459299e-06</td></tr>\n", |
|
|
1620 |
"\t<tr><th scope=row>L112</th><td>L112</td><td>M</td><td>21</td><td>LCT</td><td>IIB</td><td> 4</td><td>1</td><td>22</td><td>1</td><td>4.708281e-02</td></tr>\n", |
|
|
1621 |
"\t<tr><th scope=row>L149</th><td>L149</td><td>F</td><td>15</td><td>LCT</td><td>IIB</td><td>24</td><td>1</td><td>54</td><td>1</td><td>1.366941e-01</td></tr>\n", |
|
|
1622 |
"</tbody>\n", |
|
|
1623 |
"</table>\n" |
|
|
1624 |
], |
|
|
1625 |
"text/latex": [ |
|
|
1626 |
"A data.frame: 6 × 10\n", |
|
|
1627 |
"\\begin{tabular}{r|llllllllll}\n", |
|
|
1628 |
" & Patient & Sex & Age & LCT & Stage & PFS\\_time & PFS & OS\\_time & OS & B\\_cell\\\\\n", |
|
|
1629 |
" & <chr> & <chr> & <int> & <chr> & <chr> & <int> & <int> & <int> & <int> & <dbl>\\\\\n", |
|
|
1630 |
"\\hline\n", |
|
|
1631 |
"\tB266 & B266 & F & 70 & no & IIB & 55 & 1 & 56 & 1 & 3.082533e-06\\\\\n", |
|
|
1632 |
"\tB355 & B355 & M & 55 & LCT & IIB & 10 & 1 & 10 & 1 & 1.736493e-02\\\\\n", |
|
|
1633 |
"\tB470 & B470 & M & 45 & no & IIB & 32 & 0 & 32 & 0 & 7.869920e-04\\\\\n", |
|
|
1634 |
"\tL107 & L107 & M & 52 & LCT & IIB & 12 & 0 & 12 & 0 & 3.459299e-06\\\\\n", |
|
|
1635 |
"\tL112 & L112 & M & 21 & LCT & IIB & 4 & 1 & 22 & 1 & 4.708281e-02\\\\\n", |
|
|
1636 |
"\tL149 & L149 & F & 15 & LCT & IIB & 24 & 1 & 54 & 1 & 1.366941e-01\\\\\n", |
|
|
1637 |
"\\end{tabular}\n" |
|
|
1638 |
], |
|
|
1639 |
"text/markdown": [ |
|
|
1640 |
"\n", |
|
|
1641 |
"A data.frame: 6 × 10\n", |
|
|
1642 |
"\n", |
|
|
1643 |
"| <!--/--> | Patient <chr> | Sex <chr> | Age <int> | LCT <chr> | Stage <chr> | PFS_time <int> | PFS <int> | OS_time <int> | OS <int> | B_cell <dbl> |\n", |
|
|
1644 |
"|---|---|---|---|---|---|---|---|---|---|---|\n", |
|
|
1645 |
"| B266 | B266 | F | 70 | no | IIB | 55 | 1 | 56 | 1 | 3.082533e-06 |\n", |
|
|
1646 |
"| B355 | B355 | M | 55 | LCT | IIB | 10 | 1 | 10 | 1 | 1.736493e-02 |\n", |
|
|
1647 |
"| B470 | B470 | M | 45 | no | IIB | 32 | 0 | 32 | 0 | 7.869920e-04 |\n", |
|
|
1648 |
"| L107 | L107 | M | 52 | LCT | IIB | 12 | 0 | 12 | 0 | 3.459299e-06 |\n", |
|
|
1649 |
"| L112 | L112 | M | 21 | LCT | IIB | 4 | 1 | 22 | 1 | 4.708281e-02 |\n", |
|
|
1650 |
"| L149 | L149 | F | 15 | LCT | IIB | 24 | 1 | 54 | 1 | 1.366941e-01 |\n", |
|
|
1651 |
"\n" |
|
|
1652 |
], |
|
|
1653 |
"text/plain": [ |
|
|
1654 |
" Patient Sex Age LCT Stage PFS_time PFS OS_time OS B_cell \n", |
|
|
1655 |
"B266 B266 F 70 no IIB 55 1 56 1 3.082533e-06\n", |
|
|
1656 |
"B355 B355 M 55 LCT IIB 10 1 10 1 1.736493e-02\n", |
|
|
1657 |
"B470 B470 M 45 no IIB 32 0 32 0 7.869920e-04\n", |
|
|
1658 |
"L107 L107 M 52 LCT IIB 12 0 12 0 3.459299e-06\n", |
|
|
1659 |
"L112 L112 M 21 LCT IIB 4 1 22 1 4.708281e-02\n", |
|
|
1660 |
"L149 L149 F 15 LCT IIB 24 1 54 1 1.366941e-01" |
|
|
1661 |
] |
|
|
1662 |
}, |
|
|
1663 |
"metadata": {}, |
|
|
1664 |
"output_type": "display_data" |
|
|
1665 |
} |
|
|
1666 |
], |
|
|
1667 |
"source": [ |
|
|
1668 |
"data_prop <- cbind(data, Est_2)\n", |
|
|
1669 |
"data_prop <- data_prop[,-ncol(data_prop)]\n", |
|
|
1670 |
"data_prop %>% head()" |
|
|
1671 |
] |
|
|
1672 |
}, |
|
|
1673 |
{ |
|
|
1674 |
"cell_type": "code", |
|
|
1675 |
"execution_count": 68, |
|
|
1676 |
"id": "german-static", |
|
|
1677 |
"metadata": {}, |
|
|
1678 |
"outputs": [], |
|
|
1679 |
"source": [ |
|
|
1680 |
"colnames(data_prop) <- c(colnames(data_prop)[1:9],'B_cell')" |
|
|
1681 |
] |
|
|
1682 |
}, |
|
|
1683 |
{ |
|
|
1684 |
"cell_type": "code", |
|
|
1685 |
"execution_count": 69, |
|
|
1686 |
"id": "planned-sheep", |
|
|
1687 |
"metadata": {}, |
|
|
1688 |
"outputs": [ |
|
|
1689 |
{ |
|
|
1690 |
"data": { |
|
|
1691 |
"text/html": [ |
|
|
1692 |
"<style>\n", |
|
|
1693 |
".list-inline {list-style: none; margin:0; padding: 0}\n", |
|
|
1694 |
".list-inline>li {display: inline-block}\n", |
|
|
1695 |
".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n", |
|
|
1696 |
"</style>\n", |
|
|
1697 |
"<ol class=list-inline><li>'Patient'</li><li>'Sex'</li><li>'Age'</li><li>'LCT'</li><li>'Stage'</li><li>'PFS_time'</li><li>'PFS'</li><li>'OS_time'</li><li>'OS'</li><li>'B_cell'</li></ol>\n" |
|
|
1698 |
], |
|
|
1699 |
"text/latex": [ |
|
|
1700 |
"\\begin{enumerate*}\n", |
|
|
1701 |
"\\item 'Patient'\n", |
|
|
1702 |
"\\item 'Sex'\n", |
|
|
1703 |
"\\item 'Age'\n", |
|
|
1704 |
"\\item 'LCT'\n", |
|
|
1705 |
"\\item 'Stage'\n", |
|
|
1706 |
"\\item 'PFS\\_time'\n", |
|
|
1707 |
"\\item 'PFS'\n", |
|
|
1708 |
"\\item 'OS\\_time'\n", |
|
|
1709 |
"\\item 'OS'\n", |
|
|
1710 |
"\\item 'B\\_cell'\n", |
|
|
1711 |
"\\end{enumerate*}\n" |
|
|
1712 |
], |
|
|
1713 |
"text/markdown": [ |
|
|
1714 |
"1. 'Patient'\n", |
|
|
1715 |
"2. 'Sex'\n", |
|
|
1716 |
"3. 'Age'\n", |
|
|
1717 |
"4. 'LCT'\n", |
|
|
1718 |
"5. 'Stage'\n", |
|
|
1719 |
"6. 'PFS_time'\n", |
|
|
1720 |
"7. 'PFS'\n", |
|
|
1721 |
"8. 'OS_time'\n", |
|
|
1722 |
"9. 'OS'\n", |
|
|
1723 |
"10. 'B_cell'\n", |
|
|
1724 |
"\n", |
|
|
1725 |
"\n" |
|
|
1726 |
], |
|
|
1727 |
"text/plain": [ |
|
|
1728 |
" [1] \"Patient\" \"Sex\" \"Age\" \"LCT\" \"Stage\" \"PFS_time\"\n", |
|
|
1729 |
" [7] \"PFS\" \"OS_time\" \"OS\" \"B_cell\" " |
|
|
1730 |
] |
|
|
1731 |
}, |
|
|
1732 |
"metadata": {}, |
|
|
1733 |
"output_type": "display_data" |
|
|
1734 |
} |
|
|
1735 |
], |
|
|
1736 |
"source": [ |
|
|
1737 |
"colnames(data_prop)" |
|
|
1738 |
] |
|
|
1739 |
}, |
|
|
1740 |
{ |
|
|
1741 |
"cell_type": "code", |
|
|
1742 |
"execution_count": 70, |
|
|
1743 |
"id": "adjusted-bridge", |
|
|
1744 |
"metadata": {}, |
|
|
1745 |
"outputs": [], |
|
|
1746 |
"source": [ |
|
|
1747 |
"library(survival)\n", |
|
|
1748 |
"library(survminer)\n", |
|
|
1749 |
"library(survMisc)\n", |
|
|
1750 |
"library(RColorBrewer)" |
|
|
1751 |
] |
|
|
1752 |
}, |
|
|
1753 |
{ |
|
|
1754 |
"cell_type": "code", |
|
|
1755 |
"execution_count": 71, |
|
|
1756 |
"id": "moving-henry", |
|
|
1757 |
"metadata": {}, |
|
|
1758 |
"outputs": [ |
|
|
1759 |
{ |
|
|
1760 |
"data": { |
|
|
1761 |
"text/html": [ |
|
|
1762 |
"<table class=\"dataframe\">\n", |
|
|
1763 |
"<caption>A data.table: 6 × 4</caption>\n", |
|
|
1764 |
"<thead>\n", |
|
|
1765 |
"\t<tr><th scope=col>B_cell</th><th scope=col>U</th><th scope=col>Q</th><th scope=col>p</th></tr>\n", |
|
|
1766 |
"\t<tr><th scope=col><dbl></th><th scope=col><dbl></th><th scope=col><dbl></th><th scope=col><dbl></th></tr>\n", |
|
|
1767 |
"</thead>\n", |
|
|
1768 |
"<tbody>\n", |
|
|
1769 |
"\t<tr><td>0.04193070</td><td>5.654528</td><td>1.3214838</td><td>0.06083927</td></tr>\n", |
|
|
1770 |
"\t<tr><td>0.04179684</td><td>5.018267</td><td>1.1727873</td><td>0.12771251</td></tr>\n", |
|
|
1771 |
"\t<tr><td>0.04226829</td><td>4.762844</td><td>1.1130939</td><td>0.16772999</td></tr>\n", |
|
|
1772 |
"\t<tr><td>0.03056213</td><td>4.567278</td><td>1.0673895</td><td>0.20462660</td></tr>\n", |
|
|
1773 |
"\t<tr><td>0.03946654</td><td>4.382006</td><td>1.0240908</td><td>0.24506581</td></tr>\n", |
|
|
1774 |
"\t<tr><td>0.00771534</td><td>4.231038</td><td>0.9888089</td><td>0.28218967</td></tr>\n", |
|
|
1775 |
"</tbody>\n", |
|
|
1776 |
"</table>\n" |
|
|
1777 |
], |
|
|
1778 |
"text/latex": [ |
|
|
1779 |
"A data.table: 6 × 4\n", |
|
|
1780 |
"\\begin{tabular}{llll}\n", |
|
|
1781 |
" B\\_cell & U & Q & p\\\\\n", |
|
|
1782 |
" <dbl> & <dbl> & <dbl> & <dbl>\\\\\n", |
|
|
1783 |
"\\hline\n", |
|
|
1784 |
"\t 0.04193070 & 5.654528 & 1.3214838 & 0.06083927\\\\\n", |
|
|
1785 |
"\t 0.04179684 & 5.018267 & 1.1727873 & 0.12771251\\\\\n", |
|
|
1786 |
"\t 0.04226829 & 4.762844 & 1.1130939 & 0.16772999\\\\\n", |
|
|
1787 |
"\t 0.03056213 & 4.567278 & 1.0673895 & 0.20462660\\\\\n", |
|
|
1788 |
"\t 0.03946654 & 4.382006 & 1.0240908 & 0.24506581\\\\\n", |
|
|
1789 |
"\t 0.00771534 & 4.231038 & 0.9888089 & 0.28218967\\\\\n", |
|
|
1790 |
"\\end{tabular}\n" |
|
|
1791 |
], |
|
|
1792 |
"text/markdown": [ |
|
|
1793 |
"\n", |
|
|
1794 |
"A data.table: 6 × 4\n", |
|
|
1795 |
"\n", |
|
|
1796 |
"| B_cell <dbl> | U <dbl> | Q <dbl> | p <dbl> |\n", |
|
|
1797 |
"|---|---|---|---|\n", |
|
|
1798 |
"| 0.04193070 | 5.654528 | 1.3214838 | 0.06083927 |\n", |
|
|
1799 |
"| 0.04179684 | 5.018267 | 1.1727873 | 0.12771251 |\n", |
|
|
1800 |
"| 0.04226829 | 4.762844 | 1.1130939 | 0.16772999 |\n", |
|
|
1801 |
"| 0.03056213 | 4.567278 | 1.0673895 | 0.20462660 |\n", |
|
|
1802 |
"| 0.03946654 | 4.382006 | 1.0240908 | 0.24506581 |\n", |
|
|
1803 |
"| 0.00771534 | 4.231038 | 0.9888089 | 0.28218967 |\n", |
|
|
1804 |
"\n" |
|
|
1805 |
], |
|
|
1806 |
"text/plain": [ |
|
|
1807 |
" B_cell U Q p \n", |
|
|
1808 |
"1 0.04193070 5.654528 1.3214838 0.06083927\n", |
|
|
1809 |
"2 0.04179684 5.018267 1.1727873 0.12771251\n", |
|
|
1810 |
"3 0.04226829 4.762844 1.1130939 0.16772999\n", |
|
|
1811 |
"4 0.03056213 4.567278 1.0673895 0.20462660\n", |
|
|
1812 |
"5 0.03946654 4.382006 1.0240908 0.24506581\n", |
|
|
1813 |
"6 0.00771534 4.231038 0.9888089 0.28218967" |
|
|
1814 |
] |
|
|
1815 |
}, |
|
|
1816 |
"metadata": {}, |
|
|
1817 |
"output_type": "display_data" |
|
|
1818 |
} |
|
|
1819 |
], |
|
|
1820 |
"source": [ |
|
|
1821 |
"cut <- cutp(coxph(Surv(PFS_time, PFS)~Stage+Age+strata(Sex) + B_cell, data=data_prop))$B_cell[]\n", |
|
|
1822 |
"cut %>% head()" |
|
|
1823 |
] |
|
|
1824 |
}, |
|
|
1825 |
{ |
|
|
1826 |
"cell_type": "code", |
|
|
1827 |
"execution_count": 72, |
|
|
1828 |
"id": "bigger-rubber", |
|
|
1829 |
"metadata": {}, |
|
|
1830 |
"outputs": [], |
|
|
1831 |
"source": [ |
|
|
1832 |
"data_prop$tx <- rep(NA, nrow(data_prop))\n", |
|
|
1833 |
"data_prop$tx[which(data_prop$B_cell < 0.04193070)] <- 1\n", |
|
|
1834 |
"#data$tx[which(data$B_plasma >= 0.027831 & data$B_plasma < 0.094703)] <- 2\n", |
|
|
1835 |
"data_prop$tx[which(data_prop$B_cell >= 0.04193070)] <- 2" |
|
|
1836 |
] |
|
|
1837 |
}, |
|
|
1838 |
{ |
|
|
1839 |
"cell_type": "code", |
|
|
1840 |
"execution_count": 73, |
|
|
1841 |
"id": "combined-capability", |
|
|
1842 |
"metadata": {}, |
|
|
1843 |
"outputs": [ |
|
|
1844 |
{ |
|
|
1845 |
"data": { |
|
|
1846 |
"text/html": [ |
|
|
1847 |
"<table class=\"dataframe\">\n", |
|
|
1848 |
"<caption>A data.frame: 6 × 11</caption>\n", |
|
|
1849 |
"<thead>\n", |
|
|
1850 |
"\t<tr><th></th><th scope=col>Patient</th><th scope=col>Sex</th><th scope=col>Age</th><th scope=col>LCT</th><th scope=col>Stage</th><th scope=col>PFS_time</th><th scope=col>PFS</th><th scope=col>OS_time</th><th scope=col>OS</th><th scope=col>B_cell</th><th scope=col>tx</th></tr>\n", |
|
|
1851 |
"\t<tr><th></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><int></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><dbl></th><th scope=col><dbl></th></tr>\n", |
|
|
1852 |
"</thead>\n", |
|
|
1853 |
"<tbody>\n", |
|
|
1854 |
"\t<tr><th scope=row>B266</th><td>B266</td><td>F</td><td>70</td><td>no </td><td>IIB</td><td>55</td><td>1</td><td>56</td><td>1</td><td>3.082533e-06</td><td>1</td></tr>\n", |
|
|
1855 |
"\t<tr><th scope=row>B355</th><td>B355</td><td>M</td><td>55</td><td>LCT</td><td>IIB</td><td>10</td><td>1</td><td>10</td><td>1</td><td>1.736493e-02</td><td>1</td></tr>\n", |
|
|
1856 |
"\t<tr><th scope=row>B470</th><td>B470</td><td>M</td><td>45</td><td>no </td><td>IIB</td><td>32</td><td>0</td><td>32</td><td>0</td><td>7.869920e-04</td><td>1</td></tr>\n", |
|
|
1857 |
"\t<tr><th scope=row>L107</th><td>L107</td><td>M</td><td>52</td><td>LCT</td><td>IIB</td><td>12</td><td>0</td><td>12</td><td>0</td><td>3.459299e-06</td><td>1</td></tr>\n", |
|
|
1858 |
"\t<tr><th scope=row>L112</th><td>L112</td><td>M</td><td>21</td><td>LCT</td><td>IIB</td><td> 4</td><td>1</td><td>22</td><td>1</td><td>4.708281e-02</td><td>2</td></tr>\n", |
|
|
1859 |
"\t<tr><th scope=row>L149</th><td>L149</td><td>F</td><td>15</td><td>LCT</td><td>IIB</td><td>24</td><td>1</td><td>54</td><td>1</td><td>1.366941e-01</td><td>2</td></tr>\n", |
|
|
1860 |
"</tbody>\n", |
|
|
1861 |
"</table>\n" |
|
|
1862 |
], |
|
|
1863 |
"text/latex": [ |
|
|
1864 |
"A data.frame: 6 × 11\n", |
|
|
1865 |
"\\begin{tabular}{r|lllllllllll}\n", |
|
|
1866 |
" & Patient & Sex & Age & LCT & Stage & PFS\\_time & PFS & OS\\_time & OS & B\\_cell & tx\\\\\n", |
|
|
1867 |
" & <chr> & <chr> & <int> & <chr> & <chr> & <int> & <int> & <int> & <int> & <dbl> & <dbl>\\\\\n", |
|
|
1868 |
"\\hline\n", |
|
|
1869 |
"\tB266 & B266 & F & 70 & no & IIB & 55 & 1 & 56 & 1 & 3.082533e-06 & 1\\\\\n", |
|
|
1870 |
"\tB355 & B355 & M & 55 & LCT & IIB & 10 & 1 & 10 & 1 & 1.736493e-02 & 1\\\\\n", |
|
|
1871 |
"\tB470 & B470 & M & 45 & no & IIB & 32 & 0 & 32 & 0 & 7.869920e-04 & 1\\\\\n", |
|
|
1872 |
"\tL107 & L107 & M & 52 & LCT & IIB & 12 & 0 & 12 & 0 & 3.459299e-06 & 1\\\\\n", |
|
|
1873 |
"\tL112 & L112 & M & 21 & LCT & IIB & 4 & 1 & 22 & 1 & 4.708281e-02 & 2\\\\\n", |
|
|
1874 |
"\tL149 & L149 & F & 15 & LCT & IIB & 24 & 1 & 54 & 1 & 1.366941e-01 & 2\\\\\n", |
|
|
1875 |
"\\end{tabular}\n" |
|
|
1876 |
], |
|
|
1877 |
"text/markdown": [ |
|
|
1878 |
"\n", |
|
|
1879 |
"A data.frame: 6 × 11\n", |
|
|
1880 |
"\n", |
|
|
1881 |
"| <!--/--> | Patient <chr> | Sex <chr> | Age <int> | LCT <chr> | Stage <chr> | PFS_time <int> | PFS <int> | OS_time <int> | OS <int> | B_cell <dbl> | tx <dbl> |\n", |
|
|
1882 |
"|---|---|---|---|---|---|---|---|---|---|---|---|\n", |
|
|
1883 |
"| B266 | B266 | F | 70 | no | IIB | 55 | 1 | 56 | 1 | 3.082533e-06 | 1 |\n", |
|
|
1884 |
"| B355 | B355 | M | 55 | LCT | IIB | 10 | 1 | 10 | 1 | 1.736493e-02 | 1 |\n", |
|
|
1885 |
"| B470 | B470 | M | 45 | no | IIB | 32 | 0 | 32 | 0 | 7.869920e-04 | 1 |\n", |
|
|
1886 |
"| L107 | L107 | M | 52 | LCT | IIB | 12 | 0 | 12 | 0 | 3.459299e-06 | 1 |\n", |
|
|
1887 |
"| L112 | L112 | M | 21 | LCT | IIB | 4 | 1 | 22 | 1 | 4.708281e-02 | 2 |\n", |
|
|
1888 |
"| L149 | L149 | F | 15 | LCT | IIB | 24 | 1 | 54 | 1 | 1.366941e-01 | 2 |\n", |
|
|
1889 |
"\n" |
|
|
1890 |
], |
|
|
1891 |
"text/plain": [ |
|
|
1892 |
" Patient Sex Age LCT Stage PFS_time PFS OS_time OS B_cell tx\n", |
|
|
1893 |
"B266 B266 F 70 no IIB 55 1 56 1 3.082533e-06 1 \n", |
|
|
1894 |
"B355 B355 M 55 LCT IIB 10 1 10 1 1.736493e-02 1 \n", |
|
|
1895 |
"B470 B470 M 45 no IIB 32 0 32 0 7.869920e-04 1 \n", |
|
|
1896 |
"L107 L107 M 52 LCT IIB 12 0 12 0 3.459299e-06 1 \n", |
|
|
1897 |
"L112 L112 M 21 LCT IIB 4 1 22 1 4.708281e-02 2 \n", |
|
|
1898 |
"L149 L149 F 15 LCT IIB 24 1 54 1 1.366941e-01 2 " |
|
|
1899 |
] |
|
|
1900 |
}, |
|
|
1901 |
"metadata": {}, |
|
|
1902 |
"output_type": "display_data" |
|
|
1903 |
} |
|
|
1904 |
], |
|
|
1905 |
"source": [ |
|
|
1906 |
"data_prop %>% head" |
|
|
1907 |
] |
|
|
1908 |
}, |
|
|
1909 |
{ |
|
|
1910 |
"cell_type": "code", |
|
|
1911 |
"execution_count": 76, |
|
|
1912 |
"id": "regulated-payday", |
|
|
1913 |
"metadata": {}, |
|
|
1914 |
"outputs": [ |
|
|
1915 |
{ |
|
|
1916 |
"data": { |
|
|
1917 |
"text/plain": [ |
|
|
1918 |
".\n", |
|
|
1919 |
" 1 2 \n", |
|
|
1920 |
"34 14 " |
|
|
1921 |
] |
|
|
1922 |
}, |
|
|
1923 |
"metadata": {}, |
|
|
1924 |
"output_type": "display_data" |
|
|
1925 |
} |
|
|
1926 |
], |
|
|
1927 |
"source": [ |
|
|
1928 |
"data_prop$tx %>% table" |
|
|
1929 |
] |
|
|
1930 |
}, |
|
|
1931 |
{ |
|
|
1932 |
"cell_type": "code", |
|
|
1933 |
"execution_count": 74, |
|
|
1934 |
"id": "fourth-tamil", |
|
|
1935 |
"metadata": { |
|
|
1936 |
"tags": [] |
|
|
1937 |
}, |
|
|
1938 |
"outputs": [ |
|
|
1939 |
{ |
|
|
1940 |
"data": { |
|
|
1941 |
"text/html": [ |
|
|
1942 |
"34" |
|
|
1943 |
], |
|
|
1944 |
"text/latex": [ |
|
|
1945 |
"34" |
|
|
1946 |
], |
|
|
1947 |
"text/markdown": [ |
|
|
1948 |
"34" |
|
|
1949 |
], |
|
|
1950 |
"text/plain": [ |
|
|
1951 |
"[1] 34" |
|
|
1952 |
] |
|
|
1953 |
}, |
|
|
1954 |
"metadata": {}, |
|
|
1955 |
"output_type": "display_data" |
|
|
1956 |
}, |
|
|
1957 |
{ |
|
|
1958 |
"data": { |
|
|
1959 |
"text/html": [ |
|
|
1960 |
"14" |
|
|
1961 |
], |
|
|
1962 |
"text/latex": [ |
|
|
1963 |
"14" |
|
|
1964 |
], |
|
|
1965 |
"text/markdown": [ |
|
|
1966 |
"14" |
|
|
1967 |
], |
|
|
1968 |
"text/plain": [ |
|
|
1969 |
"[1] 14" |
|
|
1970 |
] |
|
|
1971 |
}, |
|
|
1972 |
"metadata": {}, |
|
|
1973 |
"output_type": "display_data" |
|
|
1974 |
}, |
|
|
1975 |
{ |
|
|
1976 |
"data": { |
|
|
1977 |
"text/plain": [ |
|
|
1978 |
"Call:\n", |
|
|
1979 |
"coxph(formula = Surv(PFS_time, as.numeric(PFS)) ~ tx + Stage + \n", |
|
|
1980 |
" Age + strata(Sex), data = data_prop)\n", |
|
|
1981 |
"\n", |
|
|
1982 |
" n= 48, number of events= 22 \n", |
|
|
1983 |
"\n", |
|
|
1984 |
" coef exp(coef) se(coef) z Pr(>|z|) \n", |
|
|
1985 |
"tx 1.06538 2.90195 0.51759 2.058 0.0396 *\n", |
|
|
1986 |
"StageIIIA 0.34140 1.40691 1.10156 0.310 0.7566 \n", |
|
|
1987 |
"StageIIIB 0.25089 1.28518 1.06413 0.236 0.8136 \n", |
|
|
1988 |
"StageIVA2 0.87647 2.40240 0.66078 1.326 0.1847 \n", |
|
|
1989 |
"StageIVB 1.06860 2.91130 1.08472 0.985 0.3246 \n", |
|
|
1990 |
"Age 0.01358 1.01367 0.01481 0.917 0.3590 \n", |
|
|
1991 |
"---\n", |
|
|
1992 |
"Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n", |
|
|
1993 |
"\n", |
|
|
1994 |
" exp(coef) exp(-coef) lower .95 upper .95\n", |
|
|
1995 |
"tx 2.902 0.3446 1.0522 8.003\n", |
|
|
1996 |
"StageIIIA 1.407 0.7108 0.1624 12.188\n", |
|
|
1997 |
"StageIIIB 1.285 0.7781 0.1597 10.345\n", |
|
|
1998 |
"StageIVA2 2.402 0.4163 0.6579 8.772\n", |
|
|
1999 |
"StageIVB 2.911 0.3435 0.3474 24.401\n", |
|
|
2000 |
"Age 1.014 0.9865 0.9847 1.044\n", |
|
|
2001 |
"\n", |
|
|
2002 |
"Concordance= 0.704 (se = 0.06 )\n", |
|
|
2003 |
"Likelihood ratio test= 9.75 on 6 df, p=0.1\n", |
|
|
2004 |
"Wald test = 10.67 on 6 df, p=0.1\n", |
|
|
2005 |
"Score (logrank) test = 12.64 on 6 df, p=0.05\n" |
|
|
2006 |
] |
|
|
2007 |
}, |
|
|
2008 |
"metadata": {}, |
|
|
2009 |
"output_type": "display_data" |
|
|
2010 |
}, |
|
|
2011 |
{ |
|
|
2012 |
"data": { |
|
|
2013 |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nnpLyKr/aJwAAAABJRU5ErkJggg==", |
|
|
2014 |
"text/plain": [ |
|
|
2015 |
"Plot with title “Progression Free Survival”" |
|
|
2016 |
] |
|
|
2017 |
}, |
|
|
2018 |
"metadata": { |
|
|
2019 |
"image/png": { |
|
|
2020 |
"height": 420, |
|
|
2021 |
"width": 420 |
|
|
2022 |
} |
|
|
2023 |
}, |
|
|
2024 |
"output_type": "display_data" |
|
|
2025 |
} |
|
|
2026 |
], |
|
|
2027 |
"source": [ |
|
|
2028 |
"sd <- survfit(Surv(PFS_time, as.numeric(PFS))~tx, data=data_prop, se.fit=T, conf.int=.95,type=\"kaplan-meier\")\n", |
|
|
2029 |
"#ggsurvplot(sd, data=data, conf.int = TRUE, palette = c(\"dodgerblue3\",\"red2\"))\n", |
|
|
2030 |
"\n", |
|
|
2031 |
"SD <- coxph(Surv(PFS_time,as.numeric(PFS))~tx+Stage+Age+strata(Sex),data=data_prop)\n", |
|
|
2032 |
"plot(sd, lty=1, lwd=3, col=c(\"DimGrey\", \"IndianRed1\"),\n", |
|
|
2033 |
" mark.time=T, xlab=\"time(months)\",ylab=\"Progression Free Survival\",main=\"Progression Free Survival\")\n", |
|
|
2034 |
"\n", |
|
|
2035 |
"sum(data_prop$tx==1)\n", |
|
|
2036 |
"sum(data_prop$tx==2)\n", |
|
|
2037 |
"\n", |
|
|
2038 |
"summary(SD)" |
|
|
2039 |
] |
|
|
2040 |
}, |
|
|
2041 |
{ |
|
|
2042 |
"cell_type": "code", |
|
|
2043 |
"execution_count": 75, |
|
|
2044 |
"id": "collect-fluid", |
|
|
2045 |
"metadata": {}, |
|
|
2046 |
"outputs": [ |
|
|
2047 |
{ |
|
|
2048 |
"data": { |
|
|
2049 |
"text/html": [ |
|
|
2050 |
"<strong>png:</strong> 2" |
|
|
2051 |
], |
|
|
2052 |
"text/latex": [ |
|
|
2053 |
"\\textbf{png:} 2" |
|
|
2054 |
], |
|
|
2055 |
"text/markdown": [ |
|
|
2056 |
"**png:** 2" |
|
|
2057 |
], |
|
|
2058 |
"text/plain": [ |
|
|
2059 |
"png \n", |
|
|
2060 |
" 2 " |
|
|
2061 |
] |
|
|
2062 |
}, |
|
|
2063 |
"metadata": {}, |
|
|
2064 |
"output_type": "display_data" |
|
|
2065 |
} |
|
|
2066 |
], |
|
|
2067 |
"source": [ |
|
|
2068 |
"pdf(\"./figures/Bcell_prognosis_new.pdf\", w=5, h=6)\n", |
|
|
2069 |
"plot(sd, lty=1, lwd=3, col=c(\"DimGrey\", \"IndianRed1\"),\n", |
|
|
2070 |
" mark.time=T, xlab=\"time(months)\",ylab=\"Progression Free Survival\",main=\"Progression Free Survival\")\n", |
|
|
2071 |
"dev.off()" |
|
|
2072 |
] |
|
|
2073 |
}, |
|
|
2074 |
{ |
|
|
2075 |
"cell_type": "code", |
|
|
2076 |
"execution_count": null, |
|
|
2077 |
"id": "educated-dublin", |
|
|
2078 |
"metadata": {}, |
|
|
2079 |
"outputs": [], |
|
|
2080 |
"source": [] |
|
|
2081 |
} |
|
|
2082 |
], |
|
|
2083 |
"metadata": { |
|
|
2084 |
"kernelspec": { |
|
|
2085 |
"display_name": "R", |
|
|
2086 |
"language": "R", |
|
|
2087 |
"name": "ir" |
|
|
2088 |
}, |
|
|
2089 |
"language_info": { |
|
|
2090 |
"codemirror_mode": "r", |
|
|
2091 |
"file_extension": ".r", |
|
|
2092 |
"mimetype": "text/x-r-source", |
|
|
2093 |
"name": "R", |
|
|
2094 |
"pygments_lexer": "r", |
|
|
2095 |
"version": "4.0.4" |
|
|
2096 |
} |
|
|
2097 |
}, |
|
|
2098 |
"nbformat": 4, |
|
|
2099 |
"nbformat_minor": 5 |
|
|
2100 |
} |