Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
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Updated
Sep 2, 2026 - Python
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Simulates somatic mutations, and calls statistically significant oncogenes and tumor suppressor genes based on a randomization-based test
Human gene annotations for the oncology domain
Ontology-based prediction of cancer driver genes
Scripts for the validity of driver gene identification tools in the context of targeted genome sequencing - TCGA
Somatic mutations in TCGA lung adenocarcinoma — maftools workflow
calculating endogenous molecular network's attractors
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