DEOD uncovers the dominant effects of cancer-driver genes. It integrates matched copy number, gene expression and mutation data, and PPI network to construct a large scale gene network then, a scoring function is proposed to measure the effect of each gene throughout the network.
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DEOD: Uncovering dominant effects of cancer-driver genes based on a partial covariance selection method.
Amgalan B, Lee H.
Bioinformatics. 2015 Mar 26. pii: btv175.