Pathway and network analysis of more than 2,500 whole cancer genomes
M. A. Reyna, D. Haan, M. Paczkowska, L. P. C. Verbeke, M. Vazquez, A. Kahraman, S. Pulido Tamayo, J. Barenboim, L. Wadi, P. Dhingra, R. Shrestha, G. Getz, M. S. Lawrence, J. S. S. Pedersen, M. A. Rubin, , ICGC/TCGA Pan-Cancer Analysis of Whole Genomes
The paper analyzes non-coding mutations across 2,583 cancer genomes to identify genes and pathways affected, finding clusters of interacting proteins and insights into cancer mechanisms.
bioRxiv · Aug 7, 2018 · PreprintCancer Biology