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Associating somatic mutation with clinical outcomes through kernel regression and optimal transport.

Biometrics - 1 Sept 2023

Little Paul, Hsu Li, Sun Wei

Abstract excerpt

Somatic mutations in cancer patients are inherently sparse and potentially high dimensional. Cancer patients may share the same set of deregulated biological processes perturbed by different sets of somatically mutated genes. Therefore, when assessing the associations between somatic mutations and clinical outcomes, gene-by-gene analysis is often under-powered because it does not capture the complex disease...

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PMID: 36217816
DOI: 10.1111/biom.13769
PMCID: PMC10455040

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