Binary classification machine-learning Unveils Sex-Dependent mutated gene Signatures in Melanoma
Nadav Elkoshi, Shivang Parikh, Sajeda Mahameed, Abraham Meidan, Eitan Rubin, Carmit Levy
The paper uses binary classification machine learning to identify sex-dependent mutation signatures in melanoma, finding genes like LAMA2 and TPTE that predict patient sex and survival.
bioRxiv · Apr 4, 2023 · PreprintBioinformatics