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"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"\n",
"import dash_core_components as dcc\n",
"import dash_bio as dashbio\n",
"\n",
"\n",
"df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/clustergram_mtcars.tsv',\n",
" sep='\t', skiprows=4).set_index('model')\n",
"\n",
"columns = list(df.columns.values)\n",
"rows = list(df.index)\n",
"\n",
"clustergram = dashbio.Clustergram(\n",
" data=df.loc[rows].values,\n",
" row_labels=rows,\n",
" center_values=False,\n",
" column_labels=columns,\n",
" color_threshold={\n",
" 'row': 250,\n",
" 'col': 700\n",
" },\n",
" height=800,\n",
" width=700,\n",
" hidden_labels='row',\n",
" col_group_marker=[\n",
" {'group': 5, 'annotation': 'largest column cluster', 'color': '#EF553B'}\n",
" ],\n",
" row_group_marker=[\n",
" {'group': 2, 'annotation': 'cluster 2', 'color': '#AB63FA'},\n",
" {'group': 1, 'annotation': '', 'color': '#19D3F3'}\n",
" ]\n",
")\n",
"\n",
"clustergram.show() \n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>mpg</th>\n",
" <th>cyl</th>\n",
" <th>disp</th>\n",
" <th>hp</th>\n",
" <th>drat</th>\n",
" <th>wt</th>\n",
" <th>qsec</th>\n",
" <th>vs</th>\n",
" <th>am</th>\n",
" <th>gear</th>\n",
" <th>carb</th>\n",
" </tr>\n",
" <tr>\n",
" <th>model</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Mazda RX4</th>\n",
" <td>21.0</td>\n",
" <td>6</td>\n",
" <td>160.0</td>\n",
" <td>110</td>\n",
" <td>3.90</td>\n",
" <td>2.620</td>\n",
" <td>16.46</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mazda RX4 Wag</th>\n",
" <td>21.0</td>\n",
" <td>6</td>\n",
" <td>160.0</td>\n",
" <td>110</td>\n",
" <td>3.90</td>\n",
" <td>2.875</td>\n",
" <td>17.02</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Datsun 710</th>\n",
" <td>22.8</td>\n",
" <td>4</td>\n",
" <td>108.0</td>\n",
" <td>93</td>\n",
" <td>3.85</td>\n",
" <td>2.320</td>\n",
" <td>18.61</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Hornet 4 Drive</th>\n",
" <td>21.4</td>\n",
" <td>6</td>\n",
" <td>258.0</td>\n",
" <td>110</td>\n",
" <td>3.08</td>\n",
" <td>3.215</td>\n",
" <td>19.44</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Hornet Sportabout</th>\n",
" <td>18.7</td>\n",
" <td>8</td>\n",
" <td>360.0</td>\n",
" <td>175</td>\n",
" <td>3.15</td>\n",
" <td>3.440</td>\n",
" <td>17.02</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Valiant</th>\n",
" <td>18.1</td>\n",
" <td>6</td>\n",
" <td>225.0</td>\n",
" <td>105</td>\n",
" <td>2.76</td>\n",
" <td>3.460</td>\n",
" <td>20.22</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Duster 360</th>\n",
" <td>14.3</td>\n",
" <td>8</td>\n",
" <td>360.0</td>\n",
" <td>245</td>\n",
" <td>3.21</td>\n",
" <td>3.570</td>\n",
" <td>15.84</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Merc 240D</th>\n",
" <td>24.4</td>\n",
" <td>4</td>\n",
" <td>146.7</td>\n",
" <td>62</td>\n",
" <td>3.69</td>\n",
" <td>3.190</td>\n",
" <td>20.00</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Merc 230</th>\n",
" <td>22.8</td>\n",
" <td>4</td>\n",
" <td>140.8</td>\n",
" <td>95</td>\n",
" <td>3.92</td>\n",
" <td>3.150</td>\n",
" <td>22.90</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Merc 280</th>\n",
" <td>19.2</td>\n",
" <td>6</td>\n",
" <td>167.6</td>\n",
" <td>123</td>\n",
" <td>3.92</td>\n",
" <td>3.440</td>\n",
" <td>18.30</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Merc 280C</th>\n",
" <td>17.8</td>\n",
" <td>6</td>\n",
" <td>167.6</td>\n",
" <td>123</td>\n",
" <td>3.92</td>\n",
" <td>3.440</td>\n",
" <td>18.90</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Merc 450SE</th>\n",
" <td>16.4</td>\n",
" <td>8</td>\n",
" <td>275.8</td>\n",
" <td>180</td>\n",
" <td>3.07</td>\n",
" <td>4.070</td>\n",
" <td>17.40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Merc 450SL</th>\n",
" <td>17.3</td>\n",
" <td>8</td>\n",
" <td>275.8</td>\n",
" <td>180</td>\n",
" <td>3.07</td>\n",
" <td>3.730</td>\n",
" <td>17.60</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Merc 450SLC</th>\n",
" <td>15.2</td>\n",
" <td>8</td>\n",
" <td>275.8</td>\n",
" <td>180</td>\n",
" <td>3.07</td>\n",
" <td>3.780</td>\n",
" <td>18.00</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Cadillac Fleetwood</th>\n",
" <td>10.4</td>\n",
" <td>8</td>\n",
" <td>472.0</td>\n",
" <td>205</td>\n",
" <td>2.93</td>\n",
" <td>5.250</td>\n",
" <td>17.98</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lincoln Continental</th>\n",
" <td>10.4</td>\n",
" <td>8</td>\n",
" <td>460.0</td>\n",
" <td>215</td>\n",
" <td>3.00</td>\n",
" <td>5.424</td>\n",
" <td>17.82</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Chrysler Imperial</th>\n",
" <td>14.7</td>\n",
" <td>8</td>\n",
" <td>440.0</td>\n",
" <td>230</td>\n",
" <td>3.23</td>\n",
" <td>5.345</td>\n",
" <td>17.42</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fiat 128</th>\n",
" <td>32.4</td>\n",
" <td>4</td>\n",
" <td>78.7</td>\n",
" <td>66</td>\n",
" <td>4.08</td>\n",
" <td>2.200</td>\n",
" <td>19.47</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Honda Civic</th>\n",
" <td>30.4</td>\n",
" <td>4</td>\n",
" <td>75.7</td>\n",
" <td>52</td>\n",
" <td>4.93</td>\n",
" <td>1.615</td>\n",
" <td>18.52</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Toyota Corolla</th>\n",
" <td>33.9</td>\n",
" <td>4</td>\n",
" <td>71.1</td>\n",
" <td>65</td>\n",
" <td>4.22</td>\n",
" <td>1.835</td>\n",
" <td>19.90</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Toyota Corona</th>\n",
" <td>21.5</td>\n",
" <td>4</td>\n",
" <td>120.1</td>\n",
" <td>97</td>\n",
" <td>3.70</td>\n",
" <td>2.465</td>\n",
" <td>20.01</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dodge Challenger</th>\n",
" <td>15.5</td>\n",
" <td>8</td>\n",
" <td>318.0</td>\n",
" <td>150</td>\n",
" <td>2.76</td>\n",
" <td>3.520</td>\n",
" <td>16.87</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AMC Javelin</th>\n",
" <td>15.2</td>\n",
" <td>8</td>\n",
" <td>304.0</td>\n",
" <td>150</td>\n",
" <td>3.15</td>\n",
" <td>3.435</td>\n",
" <td>17.30</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Camaro Z28</th>\n",
" <td>13.3</td>\n",
" <td>8</td>\n",
" <td>350.0</td>\n",
" <td>245</td>\n",
" <td>3.73</td>\n",
" <td>3.840</td>\n",
" <td>15.41</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Pontiac Firebird</th>\n",
" <td>19.2</td>\n",
" <td>8</td>\n",
" <td>400.0</td>\n",
" <td>175</td>\n",
" <td>3.08</td>\n",
" <td>3.845</td>\n",
" <td>17.05</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fiat X1-9</th>\n",
" <td>27.3</td>\n",
" <td>4</td>\n",
" <td>79.0</td>\n",
" <td>66</td>\n",
" <td>4.08</td>\n",
" <td>1.935</td>\n",
" <td>18.90</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Porsche 914-2</th>\n",
" <td>26.0</td>\n",
" <td>4</td>\n",
" <td>120.3</td>\n",
" <td>91</td>\n",
" <td>4.43</td>\n",
" <td>2.140</td>\n",
" <td>16.70</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lotus Europa</th>\n",
" <td>30.4</td>\n",
" <td>4</td>\n",
" <td>95.1</td>\n",
" <td>113</td>\n",
" <td>3.77</td>\n",
" <td>1.513</td>\n",
" <td>16.90</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ford Pantera L</th>\n",
" <td>15.8</td>\n",
" <td>8</td>\n",
" <td>351.0</td>\n",
" <td>264</td>\n",
" <td>4.22</td>\n",
" <td>3.170</td>\n",
" <td>14.50</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ferrari Dino</th>\n",
" <td>19.7</td>\n",
" <td>6</td>\n",
" <td>145.0</td>\n",
" <td>175</td>\n",
" <td>3.62</td>\n",
" <td>2.770</td>\n",
" <td>15.50</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maserati Bora</th>\n",
" <td>15.0</td>\n",
" <td>8</td>\n",
" <td>301.0</td>\n",
" <td>335</td>\n",
" <td>3.54</td>\n",
" <td>3.570</td>\n",
" <td>14.60</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Volvo 142E</th>\n",
" <td>21.4</td>\n",
" <td>4</td>\n",
" <td>121.0</td>\n",
" <td>109</td>\n",
" <td>4.11</td>\n",
" <td>2.780</td>\n",
" <td>18.60</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" mpg cyl disp hp drat wt qsec vs am gear \\\n",
"model \n",
"Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 \n",
"Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 \n",
"Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 \n",
"Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 \n",
"Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 \n",
"Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 \n",
"Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 \n",
"Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 \n",
"Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 \n",
"Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 \n",
"Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 \n",
"Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 \n",
"Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 \n",
"Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 \n",
"Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 \n",
"Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 \n",
"Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 \n",
"Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 \n",
"Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 \n",
"Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 \n",
"Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 \n",
"Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 \n",
"AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 \n",
"Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 \n",
"Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 \n",
"Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 \n",
"Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 \n",
"Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 \n",
"Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 \n",
"Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 \n",
"Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 \n",
"Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 \n",
"\n",
" carb \n",
"model \n",
"Mazda RX4 4 \n",
"Mazda RX4 Wag 4 \n",
"Datsun 710 1 \n",
"Hornet 4 Drive 1 \n",
"Hornet Sportabout 2 \n",
"Valiant 1 \n",
"Duster 360 4 \n",
"Merc 240D 2 \n",
"Merc 230 2 \n",
"Merc 280 4 \n",
"Merc 280C 4 \n",
"Merc 450SE 3 \n",
"Merc 450SL 3 \n",
"Merc 450SLC 3 \n",
"Cadillac Fleetwood 4 \n",
"Lincoln Continental 4 \n",
"Chrysler Imperial 4 \n",
"Fiat 128 1 \n",
"Honda Civic 2 \n",
"Toyota Corolla 1 \n",
"Toyota Corona 1 \n",
"Dodge Challenger 2 \n",
"AMC Javelin 2 \n",
"Camaro Z28 4 \n",
"Pontiac Firebird 2 \n",
"Fiat X1-9 1 \n",
"Porsche 914-2 2 \n",
"Lotus Europa 2 \n",
"Ford Pantera L 4 \n",
"Ferrari Dino 6 \n",
"Maserati Bora 8 \n",
"Volvo 142E 2 "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"# move to dash dir\n",
"os.chdir(\"../../../src/dash/\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"2020-06-18 14:07:06\n",
"Loading data for app...\n",
"\n",
"Loading metabolomics data...\n",
"Metabolomics data shape: (129, 174)\n",
"Loading lipidomics data...\n",
"Lipidomics data shape: (129, 3376)\n",
"Loading proteomics data...\n",
"Proteomics data shape: (129, 536)\n",
"Loading transcriptomics data...\n",
"Transcriptomics data shape: (125, 13282)\n",
"Getting biomolecule names for dataset: metabolomics\n",
"Getting biomolecule names for dataset: lipidomics\n",
"Getting biomolecule names for dataset: proteomics\n",
"Getting biomolecule names for dataset: transcriptomics\n"
]
}
],
"source": [
"\n",
"### load shared data ###\n",
"from data import get_omics_data, get_biomolecule_names\n",
"import datetime\n",
"\n",
"print()\n",
"print(datetime.datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\"))\n",
"print(\"Loading data for app...\")\n",
"print()\n",
"# load metabolomics data matrix\n",
"print(\"Loading metabolomics data...\")\n",
"metabolomics_df, metabolomics_quant_range = get_omics_data(dataset='metabolomics', with_metadata=True)\n",
"print(\"Metabolomics data shape: {}\".format(metabolomics_df.shape))\n",
"print(\"Loading lipidomics data...\")\n",
"lipidomics_df, lipidomics_quant_range = get_omics_data(dataset='lipidomics', with_metadata=True)\n",
"print(\"Lipidomics data shape: {}\".format(lipidomics_df.shape))\n",
"print(\"Loading proteomics data...\")\n",
"proteomics_df, proteomics_quant_range = get_omics_data(dataset='proteomics', with_metadata=True)\n",
"print(\"Proteomics data shape: {}\".format(proteomics_df.shape))\n",
"print(\"Loading transcriptomics data...\")\n",
"transcriptomics_df, transcriptomics_quant_range = get_omics_data(dataset='transcriptomics', with_metadata=True)\n",
"print(\"Transcriptomics data shape: {}\".format(transcriptomics_df.shape))\n",
"\n",
"# make biomolecule_name_dict\n",
"metabolomics_biomolecule_names_dict = get_biomolecule_names(dataset='metabolomics')\n",
"lipidomics_biomolecule_names_dict = get_biomolecule_names(dataset='lipidomics')\n",
"proteomics_biomolecule_names_dict = get_biomolecule_names(dataset='proteomics')\n",
"transcriptomics_biomolecule_names_dict = get_biomolecule_names(dataset='transcriptomics')\n",
"\n",
"# define dataset dictionaries\n",
"dataset_dict = {\n",
" \"Proteins\":\"proteomics\",\n",
" \"Lipids\":\"lipidomics\",\n",
" \"Metabolites\":\"metabolomics\",\n",
" \"Transcripts\":\"transcriptomics\",\n",
" \"Combined Biomolecules\":\"combined\"\n",
" }\n",
"\n",
"df_dict = {\n",
" \"proteomics\":proteomics_df,\n",
" \"lipidomics\":lipidomics_df,\n",
" \"metabolomics\":metabolomics_df,\n",
" \"transcriptomics\":transcriptomics_df\n",
"}\n",
"\n",
"quant_value_range_dict = {\n",
" \"proteomics\":proteomics_quant_range,\n",
" \"lipidomics\":lipidomics_quant_range,\n",
" \"metabolomics\":metabolomics_quant_range,\n",
" \"transcriptomics\":transcriptomics_quant_range\n",
"}\n",
"\n",
"global_names_dict = {\n",
" \"proteomics\":proteomics_biomolecule_names_dict,\n",
" \"lipidomics\":lipidomics_biomolecule_names_dict,\n",
" \"metabolomics\":metabolomics_biomolecule_names_dict,\n",
" \"transcriptomics\":transcriptomics_biomolecule_names_dict,\n",
" \"combined\":{**proteomics_biomolecule_names_dict,\n",
" **lipidomics_biomolecule_names_dict,\n",
" **metabolomics_biomolecule_names_dict}\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [
{
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" <th>7593</th>\n",
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" <th>8328</th>\n",
" <th>8330</th>\n",
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" <th>sample_id</th>\n",
" <th></th>\n",
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" <th>1.0</th>\n",
" <td>1.09</td>\n",
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" <td>-0.44</td>\n",
" <td>0.21</td>\n",
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" <td>-0.71</td>\n",
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" <td>1.47</td>\n",
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" <td>-0.12</td>\n",
" <td>0.84</td>\n",
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" <th>5.0</th>\n",
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" <td>-1.98</td>\n",
" <td>-2.35</td>\n",
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" <td>-0.15</td>\n",
" <td>-1.68</td>\n",
" <td>-1.55</td>\n",
" <td>-0.73</td>\n",
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" <td>-0.28</td>\n",
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" <td>0.77</td>\n",
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"<p>5 rows × 517 columns</p>\n",
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" 7593 7596 7597 7599 7600 7601 7602 7605 7606 7607 ... \\\n",
"sample_id ... \n",
"1.0 1.09 -1.04 -0.44 0.21 -0.55 0.19 -0.29 -1.40 -1.10 -0.34 ... \n",
"2.0 -0.71 1.20 0.22 1.17 -0.11 -0.37 1.17 -1.09 -0.32 -0.89 ... \n",
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"4.0 0.18 0.66 0.63 -0.10 0.60 0.52 -0.48 0.37 0.06 -0.15 ... \n",
"5.0 1.05 -0.95 -0.17 -1.98 -2.35 -2.80 -0.15 -1.68 -1.55 -0.73 ... \n",
"\n",
" 8319 8321 8322 8323 8328 8330 8334 8335 8336 8337 \n",
"sample_id \n",
"1.0 0.50 0.80 -0.16 0.66 -0.90 -0.11 -0.68 0.78 0.17 0.63 \n",
"2.0 0.30 -1.28 1.32 -0.38 -1.10 0.90 0.21 0.48 -1.12 -0.66 \n",
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"5.0 -0.28 1.04 -0.81 0.81 1.36 0.30 -0.44 1.43 0.77 -1.60 \n",
"\n",
"[5 rows x 517 columns]"
]
},
"execution_count": 97,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = proteomics_df[quant_columns]\n",
"df.apply(stats.zscore).round(2).head()"
]
},
{
"cell_type": "code",
"execution_count": 105,
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"[P] Heparin cofactor 2",
"[P] Beta-Ala-His dipeptidase",
"[P] Coagulation factor X",
"[P] Vitamin K-dependent protein Z",
"[P] Apolipoprotein A-IV",
"[P] Beta-2-glycoprotein 1",
"[P] Zinc-alpha-2-glycoprotein",
"[P] Retinol-binding protein",
"[P] Prenylcysteine oxidase 1",
"[P] Transthyretin",
"[P] Kallistatin",
"[P] Vitamin K-dependent protein C",
"[P] Plasma serine protease inhibitor",
"[P] Selenoprotein P",
"[P] Coagulation factor XIII A chain",
"[P] Coagulation factor XIII B chain",
"[P] Histidine-rich glycoprotein",
"[P] Extracellular matrix protein 1",
"[P] Pantetheinase",
"[P] IgGFc-binding protein",
"[P] CD44 antigen",
"[P] Cadherin-5",
"[P] Phosphoglycerate mutase 1",
"[P] Peroxiredoxin-1 (Fragment)",
"[P] Isoform 3 of Insulin-like growth factor II",
"[P] Long-chain-fatty-acid--CoA ligase 6 (Fragment)",
"[P] Hepatocyte growth factor activator",
"[P] N-acetylmuramoyl-L-alanine amidase",
"[P] Antithrombin-III",
"[P] Tetranectin",
"[P] Gelsolin",
"[P] Cholinesterase",
"[P] Inter-alpha-trypsin inhibitor heavy chain H1",
"[P] Inter-alpha-trypsin inhibitor heavy chain H2",
"[P] Apolipoprotein M",
"[P] Apolipoprotein A-I",
"[P] Apolipoprotein A-II",
"[P] Serum paraoxonase/lactonase 3",
"[P] Isoform 4 of Biotinidase",
"[P] Isoform 2 of Attractin",
"[P] Afamin",
"[P] Properdin",
"[P] Cartilage acidic protein 1",
"[P] Serum albumin",
"[P] Alpha-2-HS-glycoprotein",
"[P] Serotransferrin",
"[P] SAA2-SAA4 readthrough",
"[P] Secreted phosphoprotein 24",
"[P] Dopamine beta-hydroxylase",
"[P] Immunoglobulin lambda variable 10-54",
"[P] Complement C4-A",
"[P] Complement C4-B",
"[P] Coagulation factor XII",
"[P] Prothrombin",
"[P] Plasminogen",
"[P] Phosphatidylcholine-sterol acyltransferase",
"[P] Plasma kallikrein (Fragment)",
"[P] Phosphatidylinositol-glycan-specific phospholipase D",
"[P] Complement C3",
"[P] Complement factor H",
"[P] Alpha-1B-glycoprotein",
"[P] Vitamin D-binding protein",
"[P] Vitronectin",
"[P] Serotransferrin (Fragment)",
"[P] Thyroxine-binding globulin",
"[P] Cholesteryl ester transfer protein",
"[P] Isoform LMW of Kininogen-1",
"[P] Kininogen-1",
"[P] Fetuin-B",
"[P] Pregnancy zone protein",
"[P] Ceruloplasmin",
"[P] Corticosteroid-binding globulin",
"[P] Vitamin K-dependent protein S",
"[P] C4b-binding protein alpha chain",
"[P] C4b-binding protein beta chain",
"[P] Apolipoprotein(a)",
"[P] Apolipoprotein F",
"[P] Isoform 2 of Complement factor H-related protein 4",
"[P] Cathelicidin antimicrobial peptide",
"[P] Apolipoprotein C-IV",
"[P] Apolipoprotein L1",
"[P] Haptoglobin-related protein",
"[P] Serum paraoxonase/arylesterase 1",
"[P] Insulin-like growth factor binding protein 3 isoform b",
"[P] Insulin-like growth factor-binding protein complex acid labile subunit",
"[P] Complement C1r subcomponent",
"[P] Complement C1s subcomponent",
"[P] Complement C1q subcomponent subunit C",
"[P] Complement C1q subcomponent subunit B",
"[P] Complement C1q subcomponent subunit A",
"[P] Neural cell adhesion molecule L1-like protein",
"[P] Isoform 2 of Insulin-like growth factor-binding protein 7",
"[P] Alpha-2-macroglobulin",
"[P] Apolipoprotein D (Fragment)",
"[P] Adiponectin",
"[P] Transferrin receptor protein 1",
"[P] Cysteine-rich secretory protein 3",
"[P] L-selectin",
"[P] Poliovirus receptor",
"[P] Low affinity immunoglobulin gamma Fc region receptor III-A (Fragment)",
"[P] Cathepsin D",
"[P] Intercellular adhesion molecule 2 (Fragment)",
"[P] Isoform 8 of Collectin-11",
"[P] Neuropilin-1",
"[P] Sulfhydryl oxidase 1",
"[P] Complement component C7",
"[P] Macrophage colony-stimulating factor 1 receptor",
"[P] Plexin domain-containing protein 2",
"[P] Ectonucleotide pyrophosphatase/phosphodiesterase family member 2",
"[P] Alpha-1-antitrypsin",
"[P] Periostin",
"[P] Cartilage oligomeric matrix protein",
"[P] Lumican",
"[P] Peptidase inhibitor 16",
"[P] Sex hormone-binding globulin",
"[P] Fibulin-1",
"[P] Isoform C of Fibulin-1",
"[P] Immunoglobulin heavy constant delta (Fragment)",
"[P] Myoglobin",
"[P] Isoform 2 of Mannan-binding lectin serine protease 1",
"[P] Complement C1r subcomponent-like protein",
"[P] Alpha-1-acid glycoprotein 1",
"[P] Alpha-1-acid glycoprotein 2",
"[P] Alpha-1-antichymotrypsin",
"[P] Alpha-1-antichymotrypsin",
"[P] Complement component C8 gamma chain",
"[P] Complement component C8 alpha chain",
"[P] Complement component C8 beta chain",
"[P] cDNA FLJ55673, highly similar to Complement factor B",
"[P] Complement C2",
"[P] Complement component C6",
"[P] Complement factor I",
"[P] Complement component C9",
"[P] Gamma-glutamyl hydrolase",
"[P] Retinoic acid receptor responder protein 2",
"[P] Galectin-3-binding protein",
"[P] Carboxypeptidase N catalytic chain",
"[P] Carboxypeptidase N subunit 2",
"[P] Coagulation factor IX",
"[P] Angiotensinogen",
"[P] Hepatocyte growth factor-like protein",
"[P] Carboxypeptidase B2",
"[P] Isoform 4 of Clusterin",
"[P] Serglycin",
"[P] Plexin-C1 (Fragment)",
"[P] Serine/threonine-protein kinase/endoribonuclease IRE1",
"[P] Pulmonary surfactant-associated protein B",
"[P] Adipocyte plasma membrane-associated protein",
"[P] Apolipoprotein A-V",
"[P] HLA class I histocompatibility antigen, A-24 alpha chain",
"[P] HLA class I histocompatibility antigen, B-53 alpha chain",
"[P] Coagulation factor VII",
"[P] Ficolin-3",
"[P] LIM and senescent cell antigen-like-containing domain protein",
"[P] Isoform 2 of Fermitin family homolog 3",
"[P] Complement C3 (Fragment)",
"[P] Cytosol aminopeptidase",
"[P] Matrix Gla protein",
"[P] Isoform 2 of Hyaluronan-binding protein 2",
"[P] Serum amyloid P-component",
"[P] Coagulation factor XI",
"[P] Hemopexin",
"[P] Haptoglobin",
"[P] Haptoglobin",
"[P] Nucleoside diphosphate kinase",
"[P] Angiopoietin-related protein 3",
"[P] Apolipoprotein B-100",
"[P] Apolipoprotein C-III",
"[P] APOC4-APOC2 readthrough (NMD candidate)",
"[P] Ficolin-2",
"[P] Isoform C of Proteoglycan 4",
"[P] Complement C4-A",
"[P] Argininosuccinate synthase",
"[P] Immunoglobulin heavy variable 7-81 (non-functional) (Fragment)",
"[P] Isoform 2 of Spectrin alpha chain, erythrocytic 1",
"[P] Versican core protein",
"[P] Protease serine 2 preproprotein",
"[P] Lactotransferrin",
"[P] Putative annexin A2-like protein",
"[P] Angiogenin",
"[P] Immunoglobulin heavy variable 4-38-2",
"[P] Uncharacterized protein (Fragment)",
"[P] Immunoglobulin heavy constant alpha 2",
"[P] Immunoglobulin lambda variable 5-37",
"[P] Isoform 3 of Leukocyte immunoglobulin-like receptor subfamily A member 3",
"[P] Poly(rC)-binding protein 2 (Fragment)",
"[P] Fibronectin",
"[P] von Willebrand factor",
"[P] Unconventional myosin-Va",
"[P] Platelet glycoprotein IX",
"[P] Immunoglobulin kappa variable 1-13",
"[P] HLA class I histocompatibility antigen, A-34 alpha chain",
"[P] Immunoglobulin lambda variable 9-49",
"[P] Immunoglobulin lambda variable 1-36",
"[P] Immunoglobulin lambda-like polypeptide 1",
"[P] Immunoglobulin heavy variable 3-64",
"[P] Immunoglobulin heavy variable 1/OR15-1 (non-functional) (Fragment)",
"[P] Immunoglobulin heavy constant alpha 2 (Fragment)",
"[P] Immunoglobulin J chain",
"[P] Immunoglobulin heavy constant alpha 1",
"[P] Immunoglobulin heavy variable 1-8",
"[P] CD5 antigen-like",
"[P] Immunoglobulin heavy constant mu",
"[P] Immunoglobulin kappa variable 2D-29",
"[P] Carbonic anhydrase 2",
"[P] Band 3 anion transport protein",
"[P] Flavin reductase (NADPH)",
"[P] Hemoglobin subunit beta",
"[P] Hemoglobin subunit alpha",
"[P] Carbonic anhydrase 1",
"[P] Peroxiredoxin-2",
"[P] Immunoglobulin heavy variable 2-70D",
"[P] Immunoglobulin heavy variable 3-23",
"[P] Immunoglobulin kappa variable 1D-8 (Fragment)",
"[P] SH3 domain-binding glutamic acid-rich-like protein 3",
"[P] Isoform Er13 of Ankyrin-1",
"[P] Immunoglobulin kappa variable 6D-21",
"[P] Immunoglobulin kappa variable 2-29",
"[P] Immunoglobulin lambda constant 7",
"[P] Immunoglobulin heavy variable 3-20",
"[P] Immunoglobulin heavy variable 3-11",
"[P] Protein/nucleic acid deglycase DJ-1",
"[P] Calmodulin-3",
"[P] Eukaryotic translation initiation factor 5A-1",
"[P] Actin, cytoplasmic 2",
"[P] Malate dehydrogenase, mitochondrial",
"[P] Rab GDP dissociation inhibitor beta",
"[P] 14-3-3 protein gamma",
"[P] Heat shock 70 kDa protein 1B",
"[P] Heat shock protein HSP 90-alpha",
"[P] Peroxiredoxin-6",
"[P] Phosphoglycerate kinase 1",
"[P] Heat shock cognate 71 kDa protein",
"[P] Alpha-enolase",
"[P] Isoform 2 of Triosephosphate isomerase",
"[P] Heat shock protein HSP 90-beta",
"[P] Heat shock 70 kDa protein 6",
"[P] Actin-related protein 3",
"[P] PDZ and LIM domain protein 1",
"[P] Actin, alpha cardiac muscle 1",
"[P] Beta-parvin",
"[P] Isoform MLC3 of Myosin light chain 1/3, skeletal muscle isoform",
"[P] SPARC",
"[P] Isoform B of Ras-related C3 botulinum toxin substrate 1",
"[P] Solute carrier family 2, facilitated glucose transporter member 3",
"[P] Latent-transforming growth factor beta-binding protein 1",
"[P] Platelet basic protein",
"[P] ADP/ATP translocase 3",
"[P] ATP synthase subunit alpha, mitochondrial",
"[P] Tubulin beta chain",
"[P] Glycoprotein Ib (Platelet), alpha polypeptide",
"[P] F-actin-capping protein subunit alpha-1",
"[P] Peptidyl-prolyl cis-trans isomerase B",
"[P] Isoform 3 of Protein disulfide-isomerase A6",
"[P] Protein disulfide-isomerase A3",
"[P] Platelet glycoprotein V",
"[P] Chloride intracellular channel protein 1",
"[P] Multimerin-1",
"[P] Cofilin-1",
"[P] Ras-related protein Rap-1b",
"[P] Ras-related protein Rab-27B",
"[P] Ras suppressor protein 1",
"[P] ATP synthase subunit beta, mitochondrial",
"[P] Coronin-1C",
"[P] Zyxin",
"[P] Integrin beta-3",
"[P] Tubulin beta-1 chain",
"[P] Alpha-actinin-1",
"[P] Isoform 3 of Integrin alpha-IIb",
"[P] Tropomyosin alpha-4 chain",
"[P] Erythrocyte band 7 integral membrane protein",
"[P] Myosin light polypeptide 6",
"[P] Profilin-1",
"[P] 14-3-3 protein zeta/delta",
"[P] Isoform 1 of Vinculin",
"[P] Actin, cytoplasmic 1",
"[P] Caveolae-associated protein 2",
"[P] Integrin-linked protein kinase",
"[P] Pleckstrin",
"[P] Adenylyl cyclase-associated protein 1",
"[P] Isoform 2 of Tubulin alpha-4A chain",
"[P] Tubulin beta-4B chain",
"[P] WD repeat-containing protein 1",
"[P] Epididymis luminal protein 189",
"[P] Myosin regulatory light chain 12A",
"[P] Transgelin-2",
"[P] Vasodilator-stimulated phosphoprotein",
"[P] LIM and SH3 domain protein 1",
"[P] Tropomyosin beta chain",
"[P] Nucleosome assembly protein 1-like 1",
"[P] Calpain-1 catalytic subunit",
"[P] Purine nucleoside phosphorylase",
"[P] Tubulin alpha-1B chain",
"[P] Isoform 4 of Tropomyosin alpha-1 chain",
"[P] Heat shock protein beta-1",
"[P] Coronin-1A",
"[P] Isoform Short of 14-3-3 protein beta/alpha",
"[P] Endoplasmic reticulum chaperone BiP",
"[P] Calreticulin",
"[P] Fructose-bisphosphate aldolase A",
"[P] L-lactate dehydrogenase B chain",
"[P] Leukocyte elastase inhibitor",
"[P] Superoxide dismutase [Mn], mitochondrial",
"[P] Moesin",
"[P] Protein disulfide-isomerase",
"[P] Rho GDP-dissociation inhibitor 2",
"[P] Creatine kinase M-type",
"[P] Transaldolase",
"[P] Thioredoxin",
"[P] Superoxide dismutase [Cu-Zn]",
"[P] Polyubiquitin-C",
"[P] Isoform 2 of Plasminogen activator inhibitor 1",
"[P] Oncoprotein-induced transcript 3 protein",
"[P] Polymeric immunoglobulin receptor",
"[P] Intercellular adhesion molecule 1",
"[P] D-dopachrome decarboxylase",
"[P] Aminopeptidase N",
"[P] Glycogen phosphorylase, liver form",
"[P] Isocitrate dehydrogenase [NADP] cytoplasmic",
"[P] UTP--glucose-1-phosphate uridylyltransferase",
"[P] Fructose-bisphosphate aldolase B",
"[P] Fumarylacetoacetase",
"[P] Malate dehydrogenase, cytoplasmic",
"[P] Catalase",
"[P] Methanethiol oxidase",
"[P] Mannose-binding protein C",
"[P] Collagen alpha-1(VI) chain",
"[P] Nidogen-1",
"[P] Nucleobindin-1",
"[P] Isoform 2 of Leukotriene A-4 hydrolase",
"[P] Phosphatidylethanolamine-binding protein 1",
"[P] Scavenger receptor cysteine-rich type 1 protein M130",
"[P] Metalloproteinase inhibitor 1",
"[P] Macrophage mannose receptor 1",
"[P] Isoform 4 of Tenascin",
"[P] SPARC-like protein 1",
"[P] Isoform Short of Beta-1,4-galactosyltransferase 1",
"[P] Neutrophil defensin 3",
"[P] Glutathione peroxidase",
"[P] Transforming growth factor-beta-induced protein ig-h3",
"[P] Plastin-2",
"[P] Protein S100-A8",
"[P] Protein S100-A9",
"[P] Proteasome subunit alpha type",
"[P] Proteasome subunit beta type-4",
"[P] Glucose-6-phosphate isomerase",
"[P] Tryptophan--tRNA ligase, cytoplasmic",
"[P] 14-3-3 protein epsilon",
"[P] Proteasome subunit beta type-3 (Fragment)",
"[P] Transketolase",
"[P] Isoform 4 of Glutathione reductase, mitochondrial",
"[P] Proteasome subunit alpha type-1",
"[P] Proteasome subunit alpha type-5",
"[P] Complement factor H-related protein 3",
"[P] Complement factor H-related protein 1",
"[P] Complement factor H",
"[P] Complement factor H-related protein 2",
"[P] Chromogranin-A",
"[P] Monocyte differentiation antigen CD14",
"[P] Chitinase-3-like protein 1",
"[P] Fibulin-5",
"[P] Insulin-like growth factor-binding protein 2",
"[P] Collagen alpha-3(VI) chain",
"[P] Isoform 2 of EGF-containing fibulin-like extracellular matrix protein 1",
"[P] Vasorin",
"[P] Collagen alpha-1(XVIII) chain (Fragment)",
"[P] Ribonuclease 4",
"[P] Hypoxia up-regulated protein 1",
"[P] Uncharacterized protein",
"[P] Dystroglycan",
"[P] Insulin-like growth factor-binding protein 6",
"[P] Protein AMBP",
"[P] Complement factor D",
"[P] Prostaglandin-H2 D-isomerase",
"[P] Neutrophil gelatinase-associated lipocalin",
"[P] Lysozyme C",
"[P] Ribonuclease pancreatic",
"[P] Cystatin-C",
"[P] Beta-2-microglobulin",
"[P] Isoform 2 of Insulin-like growth factor-binding protein 4",
"[P] Pigment epithelium-derived factor",
"[P] Protein Z-dependent protease inhibitor",
"[P] Serum amyloid A-1 protein",
"[P] Serum amyloid A-2 protein",
"[P] Leucine-rich alpha-2-glycoprotein",
"[P] Lipopolysaccharide-binding protein",
"[P] Alpha-1-antitrypsin",
"[P] ITIH4 protein",
"[P] Isoform 2 of Inter-alpha-trypsin inhibitor heavy chain H3",
"[P] Complement factor H-related protein 5",
"[P] Fibrinogen gamma chain",
"[P] Fibrinogen alpha chain",
"[P] Fibrinogen beta chain",
"[P] Neutral alpha-glucosidase AB",
"[P] Out at first protein homolog",
"[P] Mannan-binding lectin serine protease 2",
"[P] Ferritin light chain",
"[P] Coagulation factor V",
"[P] Plasma protease C1 inhibitor",
"[P] Alpha-2-antiplasmin",
"[P] Complement C5",
"[P] Inter-alpha-trypsin inhibitor heavy chain H4",
"[P] N-acetylglucosamine-1-phosphotransferase subunit gamma",
"[P] Isoform 4 of Neural cell adhesion molecule 1",
"[P] Serpin A11",
"[P] Immunoglobulin heavy variable 2-5",
"[P] Immunoglobulin lambda variable 3-10",
"[P] Immunoglobulin kappa variable 1-12",
"[P] Immunoglobulin lambda variable 1-47",
"[P] Immunoglobulin heavy variable 3-15",
"[P] Immunoglobulin heavy variable 1-46",
"[P] Immunoglobulin lambda variable 1-40",
"[P] Immunoglobulin kappa variable 1D-39",
"[P] Immunoglobulin heavy variable 1-24",
"[P] Immunoglobulin lambda variable 3-1",
"[P] Immunoglobulin lambda variable 3-25",
"[P] Immunoglobulin heavy variable 3-33",
"[P] Immunoglobulin heavy variable 3-30-3",
"[P] Immunoglobulin lambda variable 1-51",
"[P] Immunoglobulin lambda variable 2-11",
"[P] Immunoglobulin heavy variable 1-3",
"[P] Immunoglobulin heavy variable 5-51",
"[P] Immunoglobulin heavy variable 4-61",
"[P] Immunoglobulin lambda variable 3-19",
"[P] Immunoglobulin heavy variable 1-69",
"[P] Immunoglobulin heavy variable 3-21",
"[P] Immunoglobulin lambda variable 4-69",
"[P] Immunoglobulin heavy variable 4-34",
"[P] Immunoglobulin heavy variable 4-30-2",
"[P] Immunoglobulin lambda variable 6-57",
"[P] Immunoglobulin heavy variable 3-43",
"[P] Immunoglobulin heavy variable 3-74",
"[P] Immunoglobulin heavy variable 3-53",
"[P] Immunoglobulin kappa variable 3-15",
"[P] Immunoglobulin kappa variable 1-8",
"[P] Immunoglobulin kappa variable 3-11",
"[P] Immunoglobulin heavy variable 1-18",
"[P] Immunoglobulin kappa variable 3D-15",
"[P] Immunoglobulin kappa variable 3-20",
"[P] Immunoglobulin heavy variable 3-73",
"[P] Immunoglobulin kappa variable 1-16",
"[P] Immunoglobulin heavy variable 1-69D",
"[P] Immunoglobulin lambda variable 1-44",
"[P] Immunoglobulin heavy variable 2-70",
"[P] Regenerating islet-derived protein 3-alpha",
"[P] Immunoglobulin kappa variable 1D-16",
"[P] Immunoglobulin heavy variable 3-13",
"[P] Immunoglobulin heavy constant gamma 4 (Fragment)",
"[P] Immunoglobulin kappa variable 1-37 (non-functional) (Fragment)",
"[P] Immunoglobulin lambda variable 7-46",
"[P] Immunoglobulin lambda variable 3-27",
"[P] Immunoglobulin heavy variable 3-30-5",
"[P] Immunoglobulin heavy variable 4-28",
"[P] Immunoglobulin heavy variable 1-2",
"[P] Immunoglobulin heavy variable 3-49",
"[P] Immunoglobulin lambda variable 3-9",
"[P] Immunoglobulin lambda variable 3-21",
"[P] Immunoglobulin heavy variable 1-45",
"[P] Immunoglobulin kappa variable 3D-20",
"[P] Immunoglobulin heavy variable 2-26",
"[P] Immunoglobulin kappa constant",
"[P] Immunoglobulin lambda constant 2",
"[P] Immunoglobulin lambda-like polypeptide 5",
"[P] Immunoglobulin heavy constant gamma 1",
"[P] Immunoglobulin kappa variable 1-33",
"[P] Immunoglobulin kappa variable 1-5",
"[P] Immunoglobulin heavy variable 3-7",
"[P] Immunoglobulin kappa variable 4-1",
"[P] Immunoglobulin heavy variable 3-64D",
"[P] Immunoglobulin heavy variable 5-10-1",
"[P] Immunoglobulin kappa variable 1-17",
"[P] Immunoglobulin kappa variable 2-24",
"[P] Immunoglobulin kappa variable 2-28",
"[P] Immunoglobulin kappa variable 2-40",
"[P] Immunoglobulin lambda variable 2-18",
"[P] Immunoglobulin kappa variable 1-27",
"[P] Immunoglobulin lambda variable 5-45 (Fragment)",
"[P] Immunoglobulin lambda variable 7-43",
"[P] Immunoglobulin heavy variable 3/OR16-12 (non-functional) (Fragment)",
"[P] Immunoglobulin heavy variable 3-38 (non-functional) (Fragment)",
"[P] Immunoglobulin heavy constant gamma 3",
"[P] Immunoglobulin heavy variable 3-72",
"[P] Immunoglobulin heavy constant gamma 2",
"[P] Immunoglobulin heavy variable 6-1",
"[P] Immunoglobulin kappa variable 2-30",
"[P] T-complex protein 1 subunit zeta",
"[P] Histone H4",
"[P] Histone H2B",
"[P] Histone H3.1",
"[P] Histone H2A type 3",
"[P] Elongation factor 2",
"[P] Elongation factor 1-alpha 1",
"[P] Histone H3.2",
"[P] Heterogeneous nuclear ribonucleoprotein A1 (Fragment)",
"[P] 60 kDa heat shock protein, mitochondrial",
"[P] HLA class I antigen",
"[P] Isoform 4 of T-complex protein 1 subunit eta",
"[P] Thrombospondin-4",
"[P] Isoform LAMP-2B of Lysosome-associated membrane glycoprotein 2",
"[P] Cell surface glycoprotein MUC18",
"[P] Extracellular superoxide dismutase [Cu-Zn]",
"[P] Tenascin-X",
"[P] Phospholipid transfer protein",
"[P] Isoform 5 of Noelin",
"[P] Low affinity immunoglobulin gamma Fc region receptor II-a (Fragment)",
"[P] Immunoglobulin kappa variable 6-21",
"[P] Procollagen C-endopeptidase enhancer 1",
"[P] Isoform 2 of Uncharacterized protein ZSWIM9",
"[P] Multiple inositol polyphosphate phosphatase 1",
"[P] Immunoglobulin lambda variable 8-61",
"[P] Neutrophil elastase",
"[P] Xaa-Pro dipeptidase",
"[P] Apolipoprotein E",
"[P] Mannan-binding lectin serine protease 1",
"[P] Uncharacterized protein",
"[P] Uncharacterized protein (Fragment)",
"[P] Isoform 4 of Apoptosis-inducing factor 1, mitochondrial"
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protein 2 (Fragment)\", \"[P] Fibronectin\", \"[P] von Willebrand factor\", \"[P] Unconventional myosin-Va\", \"[P] Platelet glycoprotein IX\", \"[P] Immunoglobulin kappa variable 1-13\", \"[P] HLA class I histocompatibility antigen, A-34 alpha chain\", \"[P] Immunoglobulin lambda variable 9-49\", \"[P] Immunoglobulin lambda variable 1-36\", \"[P] Immunoglobulin lambda-like polypeptide 1\", \"[P] Immunoglobulin heavy variable 3-64\", \"[P] Immunoglobulin heavy variable 1/OR15-1 (non-functional) (Fragment)\", \"[P] Immunoglobulin heavy constant alpha 2 (Fragment)\", \"[P] Immunoglobulin J chain\", \"[P] Immunoglobulin heavy constant alpha 1\", \"[P] Immunoglobulin heavy variable 1-8\", \"[P] CD5 antigen-like\", \"[P] Immunoglobulin heavy constant mu\", \"[P] Immunoglobulin kappa variable 2D-29\", \"[P] Carbonic anhydrase 2\", \"[P] Band 3 anion transport protein\", \"[P] Flavin reductase (NADPH)\", \"[P] Hemoglobin subunit beta\", \"[P] Hemoglobin subunit alpha\", \"[P] Carbonic anhydrase 1\", \"[P] Peroxiredoxin-2\", \"[P] Immunoglobulin heavy variable 2-70D\", \"[P] Immunoglobulin heavy variable 3-23\", \"[P] Immunoglobulin kappa variable 1D-8 (Fragment)\", \"[P] SH3 domain-binding glutamic acid-rich-like protein 3\", \"[P] Isoform Er13 of Ankyrin-1\", \"[P] Immunoglobulin kappa variable 6D-21\", \"[P] Immunoglobulin kappa variable 2-29\", \"[P] Immunoglobulin lambda constant 7\", \"[P] Immunoglobulin heavy variable 3-20\", \"[P] Immunoglobulin heavy variable 3-11\", \"[P] Protein/nucleic acid deglycase DJ-1\", \"[P] Calmodulin-3\", \"[P] Eukaryotic translation initiation factor 5A-1\", \"[P] Actin, cytoplasmic 2\", \"[P] Malate dehydrogenase, mitochondrial\", \"[P] Rab GDP dissociation inhibitor beta\", \"[P] 14-3-3 protein gamma\", \"[P] Heat shock 70 kDa protein 1B\", \"[P] Heat shock protein HSP 90-alpha\", \"[P] Peroxiredoxin-6\", \"[P] Phosphoglycerate kinase 1\", \"[P] Heat shock cognate 71 kDa protein\", \"[P] Alpha-enolase\", \"[P] Isoform 2 of Triosephosphate isomerase\", \"[P] Heat shock protein HSP 90-beta\", \"[P] Heat shock 70 kDa protein 6\", \"[P] Actin-related protein 3\", \"[P] PDZ and LIM domain protein 1\", \"[P] Actin, alpha cardiac muscle 1\", \"[P] Beta-parvin\", \"[P] Isoform MLC3 of Myosin light chain 1/3, skeletal muscle isoform\", \"[P] SPARC\", \"[P] Isoform B of Ras-related C3 botulinum toxin substrate 1\", \"[P] Solute carrier family 2, facilitated glucose transporter member 3\", \"[P] Latent-transforming growth factor beta-binding protein 1\", \"[P] Platelet basic protein\", \"[P] ADP/ATP translocase 3\", \"[P] ATP synthase subunit alpha, mitochondrial\", \"[P] Tubulin beta chain\", \"[P] Glycoprotein Ib (Platelet), alpha polypeptide\", \"[P] F-actin-capping protein subunit alpha-1\", \"[P] Peptidyl-prolyl cis-trans isomerase B\", \"[P] Isoform 3 of Protein disulfide-isomerase A6\", \"[P] Protein disulfide-isomerase A3\", \"[P] Platelet glycoprotein V\", \"[P] Chloride intracellular channel protein 1\", \"[P] Multimerin-1\", \"[P] Cofilin-1\", \"[P] Ras-related protein Rap-1b\", \"[P] Ras-related protein Rab-27B\", \"[P] Ras suppressor protein 1\", \"[P] ATP synthase subunit beta, mitochondrial\", \"[P] Coronin-1C\", \"[P] Zyxin\", \"[P] Integrin beta-3\", \"[P] Tubulin beta-1 chain\", \"[P] Alpha-actinin-1\", \"[P] Isoform 3 of Integrin alpha-IIb\", \"[P] Tropomyosin alpha-4 chain\", \"[P] Erythrocyte band 7 integral membrane protein\", \"[P] Myosin light polypeptide 6\", \"[P] Profilin-1\", \"[P] 14-3-3 protein zeta/delta\", \"[P] Isoform 1 of Vinculin\", \"[P] Actin, cytoplasmic 1\", \"[P] Caveolae-associated protein 2\", \"[P] Integrin-linked protein kinase\", \"[P] Pleckstrin\", \"[P] Adenylyl cyclase-associated protein 1\", \"[P] Isoform 2 of Tubulin alpha-4A chain\", \"[P] Tubulin beta-4B chain\", \"[P] WD repeat-containing protein 1\", \"[P] Epididymis luminal protein 189\", \"[P] Myosin regulatory light chain 12A\", \"[P] Transgelin-2\", \"[P] Vasodilator-stimulated phosphoprotein\", \"[P] LIM and SH3 domain protein 1\", \"[P] Tropomyosin beta chain\", \"[P] Nucleosome assembly protein 1-like 1\", \"[P] Calpain-1 catalytic subunit\", \"[P] Purine nucleoside phosphorylase\", \"[P] Tubulin alpha-1B chain\", \"[P] Isoform 4 of Tropomyosin alpha-1 chain\", \"[P] Heat shock protein beta-1\", \"[P] Coronin-1A\", \"[P] Isoform Short of 14-3-3 protein beta/alpha\", \"[P] Endoplasmic reticulum chaperone BiP\", \"[P] Calreticulin\", \"[P] Fructose-bisphosphate aldolase A\", \"[P] L-lactate dehydrogenase B chain\", \"[P] Leukocyte elastase inhibitor\", \"[P] Superoxide dismutase [Mn], mitochondrial\", \"[P] Moesin\", \"[P] Protein disulfide-isomerase\", \"[P] Rho GDP-dissociation inhibitor 2\", \"[P] Creatine kinase M-type\", \"[P] Transaldolase\", \"[P] Thioredoxin\", \"[P] Superoxide dismutase [Cu-Zn]\", \"[P] Polyubiquitin-C\", \"[P] Isoform 2 of Plasminogen activator inhibitor 1\", \"[P] Oncoprotein-induced transcript 3 protein\", \"[P] Polymeric immunoglobulin receptor\", \"[P] Intercellular adhesion molecule 1\", \"[P] D-dopachrome decarboxylase\", \"[P] Aminopeptidase N\", \"[P] Glycogen phosphorylase, liver form\", \"[P] Isocitrate dehydrogenase [NADP] cytoplasmic\", \"[P] UTP--glucose-1-phosphate uridylyltransferase\", \"[P] Fructose-bisphosphate aldolase B\", \"[P] Fumarylacetoacetase\", \"[P] Malate dehydrogenase, cytoplasmic\", \"[P] Catalase\", \"[P] Methanethiol oxidase\", \"[P] Mannose-binding protein C\", \"[P] Collagen alpha-1(VI) chain\", \"[P] Nidogen-1\", \"[P] Nucleobindin-1\", \"[P] Isoform 2 of Leukotriene A-4 hydrolase\", \"[P] Phosphatidylethanolamine-binding protein 1\", \"[P] Scavenger receptor cysteine-rich type 1 protein M130\", \"[P] Metalloproteinase inhibitor 1\", \"[P] Macrophage mannose receptor 1\", \"[P] Isoform 4 of Tenascin\", \"[P] SPARC-like protein 1\", \"[P] Isoform Short of Beta-1,4-galactosyltransferase 1\", \"[P] Neutrophil defensin 3\", \"[P] Glutathione peroxidase\", \"[P] Transforming growth factor-beta-induced protein ig-h3\", \"[P] Plastin-2\", \"[P] Protein S100-A8\", \"[P] Protein S100-A9\", \"[P] Proteasome subunit alpha type\", \"[P] Proteasome subunit beta type-4\", \"[P] Glucose-6-phosphate isomerase\", \"[P] Tryptophan--tRNA ligase, cytoplasmic\", \"[P] 14-3-3 protein epsilon\", \"[P] Proteasome subunit beta type-3 (Fragment)\", \"[P] Transketolase\", \"[P] Isoform 4 of Glutathione reductase, mitochondrial\", \"[P] Proteasome subunit alpha type-1\", \"[P] Proteasome subunit alpha type-5\", \"[P] Complement factor H-related protein 3\", \"[P] Complement factor H-related protein 1\", \"[P] Complement factor H\", \"[P] Complement factor H-related protein 2\", \"[P] Chromogranin-A\", \"[P] Monocyte differentiation antigen CD14\", \"[P] Chitinase-3-like protein 1\", \"[P] Fibulin-5\", \"[P] Insulin-like growth factor-binding protein 2\", \"[P] Collagen alpha-3(VI) chain\", \"[P] Isoform 2 of EGF-containing fibulin-like extracellular matrix protein 1\", \"[P] Vasorin\", \"[P] Collagen alpha-1(XVIII) chain (Fragment)\", \"[P] Ribonuclease 4\", \"[P] Hypoxia up-regulated protein 1\", \"[P] Uncharacterized protein\", \"[P] Dystroglycan\", \"[P] Insulin-like growth factor-binding protein 6\", \"[P] Protein AMBP\", \"[P] Complement factor D\", \"[P] Prostaglandin-H2 D-isomerase\", \"[P] Neutrophil gelatinase-associated lipocalin\", \"[P] Lysozyme C\", \"[P] Ribonuclease pancreatic\", \"[P] Cystatin-C\", \"[P] Beta-2-microglobulin\", \"[P] Isoform 2 of Insulin-like growth factor-binding protein 4\", \"[P] Pigment epithelium-derived factor\", \"[P] Protein Z-dependent protease inhibitor\", \"[P] Serum amyloid A-1 protein\", \"[P] Serum amyloid A-2 protein\", \"[P] Leucine-rich alpha-2-glycoprotein\", \"[P] Lipopolysaccharide-binding protein\", \"[P] Alpha-1-antitrypsin\", \"[P] ITIH4 protein\", \"[P] Isoform 2 of Inter-alpha-trypsin inhibitor heavy chain H3\", \"[P] Complement factor H-related protein 5\", \"[P] Fibrinogen gamma chain\", \"[P] Fibrinogen alpha chain\", \"[P] Fibrinogen beta chain\", \"[P] Neutral alpha-glucosidase AB\", \"[P] Out at first protein homolog\", \"[P] Mannan-binding lectin serine protease 2\", \"[P] Ferritin light chain\", \"[P] Coagulation factor V\", \"[P] Plasma protease C1 inhibitor\", \"[P] Alpha-2-antiplasmin\", \"[P] Complement C5\", \"[P] Inter-alpha-trypsin inhibitor heavy chain H4\", \"[P] N-acetylglucosamine-1-phosphotransferase subunit gamma\", \"[P] Isoform 4 of Neural cell adhesion molecule 1\", \"[P] Serpin A11\", \"[P] Immunoglobulin heavy variable 2-5\", \"[P] Immunoglobulin lambda variable 3-10\", \"[P] Immunoglobulin kappa variable 1-12\", \"[P] Immunoglobulin lambda variable 1-47\", \"[P] Immunoglobulin heavy variable 3-15\", \"[P] Immunoglobulin heavy variable 1-46\", \"[P] Immunoglobulin lambda variable 1-40\", \"[P] Immunoglobulin kappa variable 1D-39\", \"[P] Immunoglobulin heavy variable 1-24\", \"[P] Immunoglobulin lambda variable 3-1\", \"[P] Immunoglobulin lambda variable 3-25\", \"[P] Immunoglobulin heavy variable 3-33\", \"[P] Immunoglobulin heavy variable 3-30-3\", \"[P] Immunoglobulin lambda variable 1-51\", \"[P] Immunoglobulin lambda variable 2-11\", \"[P] Immunoglobulin heavy variable 1-3\", \"[P] Immunoglobulin heavy variable 5-51\", \"[P] Immunoglobulin heavy variable 4-61\", \"[P] Immunoglobulin lambda variable 3-19\", \"[P] Immunoglobulin heavy variable 1-69\", \"[P] Immunoglobulin heavy variable 3-21\", \"[P] Immunoglobulin lambda variable 4-69\", \"[P] Immunoglobulin heavy variable 4-34\", \"[P] Immunoglobulin heavy variable 4-30-2\", \"[P] Immunoglobulin lambda variable 6-57\", \"[P] Immunoglobulin heavy variable 3-43\", \"[P] Immunoglobulin heavy variable 3-74\", \"[P] Immunoglobulin heavy variable 3-53\", \"[P] Immunoglobulin kappa variable 3-15\", \"[P] Immunoglobulin kappa variable 1-8\", \"[P] Immunoglobulin kappa variable 3-11\", \"[P] Immunoglobulin heavy variable 1-18\", \"[P] Immunoglobulin kappa variable 3D-15\", \"[P] Immunoglobulin kappa variable 3-20\", \"[P] Immunoglobulin heavy variable 3-73\", \"[P] Immunoglobulin kappa variable 1-16\", \"[P] Immunoglobulin heavy variable 1-69D\", \"[P] Immunoglobulin lambda variable 1-44\", \"[P] Immunoglobulin heavy variable 2-70\", \"[P] Regenerating islet-derived protein 3-alpha\", \"[P] Immunoglobulin kappa variable 1D-16\", \"[P] Immunoglobulin heavy variable 3-13\", \"[P] Immunoglobulin heavy constant gamma 4 (Fragment)\", \"[P] Immunoglobulin kappa variable 1-37 (non-functional) (Fragment)\", \"[P] Immunoglobulin lambda variable 7-46\", \"[P] Immunoglobulin lambda variable 3-27\", \"[P] Immunoglobulin heavy variable 3-30-5\", \"[P] Immunoglobulin heavy variable 4-28\", \"[P] Immunoglobulin heavy variable 1-2\", \"[P] Immunoglobulin heavy variable 3-49\", \"[P] Immunoglobulin lambda variable 3-9\", \"[P] Immunoglobulin lambda variable 3-21\", \"[P] Immunoglobulin heavy variable 1-45\", \"[P] Immunoglobulin kappa variable 3D-20\", \"[P] Immunoglobulin heavy variable 2-26\", \"[P] Immunoglobulin kappa constant\", \"[P] Immunoglobulin lambda constant 2\", \"[P] Immunoglobulin lambda-like polypeptide 5\", \"[P] Immunoglobulin heavy constant gamma 1\", \"[P] Immunoglobulin kappa variable 1-33\", \"[P] Immunoglobulin kappa variable 1-5\", \"[P] Immunoglobulin heavy variable 3-7\", \"[P] Immunoglobulin kappa variable 4-1\", \"[P] Immunoglobulin heavy variable 3-64D\", \"[P] Immunoglobulin heavy variable 5-10-1\", \"[P] Immunoglobulin kappa variable 1-17\", \"[P] Immunoglobulin kappa variable 2-24\", \"[P] Immunoglobulin kappa variable 2-28\", \"[P] Immunoglobulin kappa variable 2-40\", \"[P] Immunoglobulin lambda variable 2-18\", \"[P] Immunoglobulin kappa variable 1-27\", \"[P] Immunoglobulin lambda variable 5-45 (Fragment)\", \"[P] Immunoglobulin lambda variable 7-43\", \"[P] Immunoglobulin heavy variable 3/OR16-12 (non-functional) (Fragment)\", \"[P] Immunoglobulin heavy variable 3-38 (non-functional) (Fragment)\", \"[P] Immunoglobulin heavy constant gamma 3\", \"[P] Immunoglobulin heavy variable 3-72\", \"[P] Immunoglobulin heavy constant gamma 2\", \"[P] Immunoglobulin heavy variable 6-1\", \"[P] Immunoglobulin kappa variable 2-30\", \"[P] T-complex protein 1 subunit zeta\", \"[P] Histone H4\", \"[P] Histone H2B\", \"[P] Histone H3.1\", \"[P] Histone H2A type 3\", \"[P] Elongation factor 2\", \"[P] Elongation factor 1-alpha 1\", \"[P] Histone H3.2\", \"[P] Heterogeneous nuclear ribonucleoprotein A1 (Fragment)\", \"[P] 60 kDa heat shock protein, mitochondrial\", \"[P] HLA class I antigen\", \"[P] Isoform 4 of T-complex protein 1 subunit eta\", \"[P] Thrombospondin-4\", \"[P] Isoform LAMP-2B of Lysosome-associated membrane glycoprotein 2\", \"[P] Cell surface glycoprotein MUC18\", \"[P] Extracellular superoxide dismutase [Cu-Zn]\", \"[P] Tenascin-X\", \"[P] Phospholipid transfer protein\", \"[P] Isoform 5 of Noelin\", \"[P] Low affinity immunoglobulin gamma Fc region receptor II-a (Fragment)\", \"[P] Immunoglobulin kappa variable 6-21\", \"[P] Procollagen C-endopeptidase enhancer 1\", \"[P] Isoform 2 of Uncharacterized protein ZSWIM9\", \"[P] Multiple inositol polyphosphate phosphatase 1\", \"[P] Immunoglobulin lambda variable 8-61\", \"[P] Neutrophil elastase\", \"[P] Xaa-Pro dipeptidase\", \"[P] Apolipoprotein E\", \"[P] Mannan-binding lectin serine protease 1\", \"[P] Uncharacterized protein\", \"[P] Uncharacterized protein (Fragment)\", \"[P] Isoform 4 of Apoptosis-inducing factor 1, mitochondrial\"], \"tickvals\": [5.0, 15.0, 25.0, 35.0, 45.0, 55.0, 65.0, 75.0, 85.0, 95.0, 105.0, 115.0, 125.0, 135.0, 145.0, 155.0, 165.0, 175.0, 185.0, 195.0, 205.0, 215.0, 225.0, 235.0, 245.0, 255.0, 265.0, 275.0, 285.0, 295.0, 305.0, 315.0, 325.0, 335.0, 345.0, 355.0, 365.0, 375.0, 385.0, 395.0, 405.0, 415.0, 425.0, 435.0, 445.0, 455.0, 465.0, 475.0, 485.0, 495.0, 505.0, 515.0, 525.0, 535.0, 545.0, 555.0, 565.0, 575.0, 585.0, 595.0, 605.0, 615.0, 625.0, 635.0, 645.0, 655.0, 665.0, 675.0, 685.0, 695.0, 705.0, 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4495.0, 4505.0, 4515.0, 4525.0, 4535.0, 4545.0, 4555.0, 4565.0, 4575.0, 4585.0, 4595.0, 4605.0, 4615.0, 4625.0, 4635.0, 4645.0, 4655.0, 4665.0, 4675.0, 4685.0, 4695.0, 4705.0, 4715.0, 4725.0, 4735.0, 4745.0, 4755.0, 4765.0, 4775.0, 4785.0, 4795.0, 4805.0, 4815.0, 4825.0, 4835.0, 4845.0, 4855.0, 4865.0, 4875.0, 4885.0, 4895.0, 4905.0, 4915.0, 4925.0, 4935.0, 4945.0, 4955.0, 4965.0, 4975.0, 4985.0, 4995.0, 5005.0, 5015.0, 5025.0, 5035.0, 5045.0, 5055.0, 5065.0, 5075.0, 5085.0, 5095.0, 5105.0, 5115.0, 5125.0, 5135.0, 5145.0, 5155.0, 5165.0], \"type\": \"linear\", \"zeroline\": false}, \"yaxis6\": {\"anchor\": \"x6\", \"domain\": [0, 0.7916666666666666], \"fixedrange\": false, \"mirror\": false, \"range\": [5.0, 5165.0], \"scaleanchor\": \"y5\", \"scaleratio\": 1, \"showgrid\": false, \"showline\": false, \"showticklabels\": false, \"type\": \"linear\", \"zeroline\": false}, \"yaxis7\": {\"anchor\": \"x7\", \"domain\": [0.0, 0.25]}, \"yaxis8\": {\"anchor\": \"x8\", \"domain\": [0.7916666666666666, 0.8416666666666667], \"fixedrange\": false, \"mirror\": false, \"range\": [-0.5, 0.5], \"showgrid\": false, \"showline\": false, \"showticklabels\": false, \"type\": \"linear\", \"zeroline\": false}, \"yaxis9\": {\"anchor\": \"x9\", \"domain\": [0.0, 0.25]}},\n",
" {\"responsive\": true}\n",
" ).then(function(){\n",
" \n",
"var gd = document.getElementById('fb127190-6a5c-4a3b-b4e3-0f3b71bdb0a0');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" })\n",
" };\n",
" });\n",
" </script>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from scipy import stats\n",
"\n",
"# from 8.0-clustergrammer_format.ipynb\n",
"#clustergram_df = quant_df.apply(stats.zscore).T.round(2)\n",
"\n",
"quant_columns = proteomics_df.columns[:proteomics_quant_range]\n",
"df = proteomics_df[quant_columns]\n",
"biomolecule_names = [proteomics_biomolecule_names_dict[i] for i in df.columns]\n",
"#df.columns = biomolecule_names\n",
"df = df.apply(stats.zscore).T.round(2)\n",
"\n",
"columns = list(df.columns.values)\n",
"rows = list(df.index)\n",
"\n",
"clustergram = dashbio.Clustergram(\n",
" data=df.loc[rows].values,\n",
" row_labels=biomolecule_names,\n",
" column_labels=columns,\n",
" center_values=False,\n",
" color_threshold={\n",
" 'row': 18,\n",
" 'col': 40\n",
" },\n",
" height=800,\n",
" width=1000,\n",
" hidden_labels=['row', 'col'],\n",
" display_range=3.0,\n",
")\n",
"\n",
"clustergram.update_layout(\n",
" yaxis2={'domain': [0.6, 1]}\n",
")\n",
"\n",
"clustergram.show() "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.10"
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"nbformat_minor": 4
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