Comparison of algorithms for the detection of cancer drivers at subgene resolution

Abstract

Understanding genetic events that lead to cancer initiation and progression remains one of the biggest challenges in cancer biology. Traditionally, most algorithms for cancer-driver identification look for genes that have more mutations than expected from the average background mutation rate. However, there is now a wide variety of methods that look for… (More)
DOI: 10.1038/nmeth.4364

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