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Resources for the benchmarking of KEGG [1][2][3], Reactome [4][5], and WikiPathways [6][7][8] on statistical enrichment and predictive Modeling using PathwayForte.
If you find pathway_forte useful for your work, please consider citing [9]:
Notebooks. Jupyter notebooks showing the results of the analysis.
R. Scripts to download, query and preprocessing TCGA datasets.
Input: Directories containing gmt files, TCGA gene expression data, enrichment scores and test data used in the paper
(in case proprocessing has been already conducted)