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Table 2 Independent datasets with number of tumoural and normal samples for each cancer type

From: Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis

Cancer Type GEO ID Data No. Tumoural samples No. Normal samples
Bladder Urothelial Carcinoma GSE13507 165 10
Breast invasive carcinoma cancer GSE39004 61 47
Colon adenocarcinoma GSE41657 25 12
Esophageal carcinoma GSE20347 17 17
Head and Neck squamous cell carcinoma GSE6631 22 22
Kidney Chromophobe GSE15641 6 23
Kidney renal clear cell carcinoma GSE15641 32 23
Kidney renal papillary cell carcinoma GSE15641 11 23
Liver hepatocellular carcinoma GSE45267 46 41
Lung adenocarcinoma GSE10072 58 49
Lung squamous cell carcinoma GSE33479 14 27
Prostate adenocarcinoma GSE6919 81 90
Rectum adenocarcinoma GSE20842 65 65
Stomach adenocarcinoma GSE2685 10 10
Thyroid carcinoma GSE33630 60 45
Uterine Corpus Endometrial Carcinoma GSE10072 53 11