track view for Hi-C and other omics data
Project description
trackc
install
pip install trackccore usage
import trackc
kegg_metabolism = sigc.metabolism_sigs(resources='KEGG')
# other custom signature gene sets also support
df = pd.read_table("cells_X_genes.mat", header=0, index_col=0)
sig_mtx = sigc.sigc_score(df, kegg_metabolism, method="AUCell")
# sig_mtx: cells_X_signaturessignature example
name |
description |
member |
|---|---|---|
Glycolysis |
00010 |
HK3 |
Glycolysis |
00010 |
HK1 |
Glycolysis2 |
describ2 |
geneX |
Documentation
Extensive documentation and tutorials are available at https://trackc.readthedocs.io
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