Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
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Updated
Aug 3, 2024 - 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
calculating endogenous molecular network's attractors
Scripts for the validity of driver gene identification tools in the context of targeted genome sequencing - TCGA
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