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Table 2 Functional annotation results for identified driver genes by GSW-FI

From: Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact

Dataset

Terms

Genes

FDR

 

hsa05230:Central carbon metabolism in cancer

NRAS, FLT3, IDH1, IDH2, TP53

3.1329E-05

 

hsa05221:Acute myeloid leukemia

CEBPA, NRAS, FLT3, RUNX1

0.0014

LAML

hsa05202:Transcriptional misregulation in cancer

CEBPA, FLT3, TP53, RUNX1

0.0214

 

hsa05200:Pathways in cancer

CEBPA, NRAS, FLT3, TP53, RUNX1

0.0234

 

hsa05220:Chronic myeloid leukemia

NRAS, TP53, RUNX1

0.0460

 

hsa05213:Endometrial cancer

PIK3CA, CDH1, TP53

0.0271

BRCA

hsa05218:Melanoma

PIK3CA, CDH1, TP53

0.0271

 

hsa04722:Neurotrophin signaling pathway

MAP3K1, PIK3CA, TP53

0.0493

 

hsa05225:Hepatocellular carcinoma

KEAP1, KRAS, TP53, EGFR

0.0385

LUAD

hsa05223:Non-small cell lung cancer

KRAS, TP53, EGFR

0.0385

 

hsa04151:PI3K-Akt signaling pathway

STK11, KRAS, TP53, EGFR

0.0435