DEOD: uncovering dominant effects of cancer-driver genes based on a partial covariance selection method

摘要

Motivation: The generation of a large volume of cancer genomes has allowed us to identify disease- related alterations more accurately, which is expected to enhance our understanding regarding the mechanism of cancer development. With genomic alterations detected, one challenge is to pinpoint cancer-driver genes that cause functional abnormalities.