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Binary classification machine-learning Unveils Sex-Dependent mutated gene Signatures in Melanoma

2023-04-07

Abstract excerpt

There are significant differences in the prevalence of cancer type, primary tumor body site, and mutation load between men and women, but the mechanisms underlying these sex-dependent differences is mostly unknown. Here we used binary classification machine-learning methodology to study sex-correlated somatic mutations signatures in cutaneous melanoma. We identified a number of genes that are more frequently mutat...

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Literature Corpus work
a1d83d83-49c7-5e30-b6fb-0e693010fb2d
DOI
10.1101/2023.04.04.535515
Open publication

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Binary classification machine-learning Unveils Sex-Dependent mutated gene Signatures in MelanomaDOI 10.1101/2023.04.04.535515
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