Diff of /data/README_data.txt [000000] .. [090c8c]

Switch to unified view

a b/data/README_data.txt
1
2
s1_mapped1.txt: Domain 1 of Simulation 1, branching tree (originally from Liu et al 2019, MMD-MA paper)
3
s1_mapped2.txt: Domain 2 of Simulation 1, branching tree (originally from Liu et al 2019, MMD-MA paper)
4
s1_label1.txt: Group labels for Domain 1 of Simulation 1
5
s1_label2.txt: Group labels for Domain 2 of Simulation 1
6
7
s2_mapped1.txt: Domain 1 of Simulation 2, Swiss roll (originally from Liu et al 2019, MMD-MA paper)
8
s2_mapped2.txt: Domain 2 of Simulation 2, Swiss roll (originally from Liu et al 2019, MMD-MA paper)
9
s2_label1.txt: Group labels for Domain 1 of Simulation 2
10
s2_label2.txt: Group labels for Domain 2 of Simulation 2
11
12
s3_mapped1.txt: Domain 1 of Simulation 3, circular frustum (originally from Liu et al 2019, MMD-MA paper)
13
s3_mapped2.txt: Domain 2 of Simulation 3, circular frustum (originally from Liu et al 2019, MMD-MA paper)
14
s3_label1.txt: Group labels for Domain 1 of Simulation 3
15
s3_label2.txt: Group labels for Domain 2 of Simulation 3
16
17
scGEM_expression.csv:   Gene expression (scRNA-seq) domain of the scGEM dataset
18
scGEM_typeExpression.txt:   Cell-type labels for the gene expression (scRNA-seq) domain of the scGEM dataset
19
scGEM_methylation.csv:  DNA methylation (scMethyl-seq) domain of the scGEM dataset
20
scGEM_typeMethylation.txt:  Cell-type labels for the DNA methylation (scMethyl-seq) domain of the scGEM dataset
21
Label to cell-type mapping: 1: BJ, 2:d8, 3: d16T+, 4: d24T+, 5:iPSc
22
23
24
scatac_feat.npy:  Chromatin accessibility (snATAC-seq) domain of the SNARE-seq dataset (in numpy array format)
25
SNAREseq_atac_types.txt:  Cell-type labels for the gene expression domain of the SNARE-seq dataset
26
scrna_feat.npy:   Gene expression (scRNA-seq) domain of the SNARE-seq dataset (in numpy array format)
27
SNAREseq_rna_types.txt:   Cell-type labels for the chromatin accessibility domain of the SNARE-seq dataset (same as the gene expression domain because gene expression domain proved more reliable for cell-type annotation)
28
SNAREseq_metadata.txt:  Some metadata on the SNARE-seq datasets, such as the label number -- cell-type mapping and the barcode names for cells (in order)