A machine learning approach predicts essential genes and pharmacological targets in cancer
C. Gilvary, N. Madhukar, K. Gayvert, M. Foronda, A. Perez, C. S. Leslie, L. Dow, G. Pandey, O. Elemento
This paper introduces ECLIPSE, a machine learning model that predicts essential genes and pharmacological targets in cancer by integrating genomic, cell line, and experimental features, showing better differentiation of approved cancer drugs from non-approved ones.
bioRxiv · Jul 4, 2019 · PreprintCancer Biology