Identification of Relevant Genetic Alterations in Cancer using Topological Data Analysis
R. Rabadan, Y. Mohamedi, U. Rubin, T. Chu, O. Elliott, L. Arnes, S. Cal, A. J. Obaya, A. J. Levine, P. G. Camara
This study identifies 38 candidate cancer-associated genes using topological data analysis integrated with somatic mutations and RNA expression data across 12 tumor types.
bioRxiv · Jan 30, 2020Cancer Biology