Ranking cancer drivers via betweenness-based outlier detection and random walks
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DOI: 10.1186/s12859-021-03989-w
Abstract: Background Recent cancer genomic studies have generated detailed molecular data on a large number of cancer patients. A key remaining problem in cancer genomics is the identification of driver genes. Results We propose BetweenNet, a… read more here.
Keywords: drivers via; cancer drivers; ranking cancer; random ... See more keywords