Article
Using sigLASSO to optimize cancer mutation signatures jointly with sampling likelihood.
Nature communications - 17 Jul 2020
Li Shantao, Crawford Forrest W, Gerstein Mark B
Abstract excerpt
Multiple mutational processes drive carcinogenesis, leaving characteristic signatures in tumor genomes. Determining the active signatures from a full repertoire of potential ones helps elucidate mechanisms of cancer development. This involves optimally decomposing the counts of cancer mutations, tabulated according to their trinucleotide context, into a linear combination of known signatures. Here, we develop...
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