Additional file 1 of CTpathway: a CrossTalk-based pathway enrichment analysis method for cancer research

Additional file 1: Table S1. Information of protein-protein (PPI) included in this study. Table S2. Summary of data sets analyzed in this study. Table S3. Summary of 12 gold standard data sets. Table S4. The degree of genes in the GPCM. Table S5. List of CGC genes of four cancer types. Table S6. GSE...

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Hauptverfasser: Liu, Haizhou, Yuan, Mengqin, Mitra, Ramkrishna, Zhou, Xu, Long, Min, Lei, Wanyue, Zhou, Shunheng, Huang, Yu-e, Hou, Fei, Eischen, Christine M., Jiang, Wei
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Sprache:eng
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Zusammenfassung:Additional file 1: Table S1. Information of protein-protein (PPI) included in this study. Table S2. Summary of data sets analyzed in this study. Table S3. Summary of 12 gold standard data sets. Table S4. The degree of genes in the GPCM. Table S5. List of CGC genes of four cancer types. Table S6. GSEA enrichment results of RS or |log2FC| for CGC genes. Tables S7-S14. Significant (FDR < 0.01) pathways identified by CTpathway for GEO COAD, TCGA COAD, GEO LIHC, TCGA LIHC, GEO LUAD, TCGA LUAD, GEO OV, TCGA OV. Tables S15-S18. Comparative results show significant KEGG pathways identified by CTpathway with other methods from GEO LUAD, TCGA LUAD, GEO OV, TCGA OV data. Table S19. Significant (FDR < 0.01) KEGG pathways for GEO OV data only identified by CTpathway. Table S20. EMT genes in the top 100 of RS rank list.
DOI:10.6084/m9.figshare.21332885