Essentiality, Protein-Protein Interactions and Evolutionary Properties are Key Predictors for Identifying Cancer Genes Using Machine Learning
A. Safadi, S. C. Lovell, A. J. Doig
This paper develops a machine learning model to predict cancer genes using essentiality, protein-protein interactions, and evolutionary properties, identifying new potential drug targets.
bioRxiv · Sep 1, 2021 · PreprintCancer Biology