Additional file 1 of CTpathway: a CrossTalk-based pathway enrichment analysis method for cancer research
Year: 2022
Type: dataset
Abstract: 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.
Source: Figshare
Authors: Liu, Haizhou, Yuan, Mengqin, Mitra, Ramkrishna, Zhou, Xu, Long, Min, Lei, Wanyue, Zhou, Shunheng, Huang, Yu-e, Hou, Fei, Eischen, Christine M., Jiang, Wei
Institutions: Wuhan Institute of Virology, Nanjing University of Aeronautics and Astronautics, Thomas Jefferson University, Shandong University, Shandong Provincial Hospital, Nanjing Medical University, Qiqihar University, Guangzhou University of Chinese Medicine, Huaqiao University, The University of Sydney, Capital Medical University, Chinese Academy of Medical Sciences & Peking Union Medical College, Sichuan University, Fudan University, University of South Florida, China-Japan Friendship Hospital, Yale University, Second Affiliated Hospital of Chongqing Medical University, Key Laboratory of Guangdong Province, Guangdong Provincial Hospital of Chinese Medicine, Tianjin Institute of Industrial Biotechnology, Shanghai Academy of Agricultural Sciences, Huazhong University of Science and Technology, Nanjing University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4394237012
