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Article

A pan-cancer somatic mutation embedding using autoencoders.

BMC bioinformatics - 11 Dec 2019

Palazzo Martin, Beauseroy Pierre, Yankilevich Patricio

Abstract excerpt

BACKGROUND: Next generation sequencing instruments are providing new opportunities for comprehensive analyses of cancer genomes. The increasing availability of tumor data allows to research the complexity of cancer disease with machine learning methods. The large available repositories of high dimensional tumor samples characterised with germline and somatic mutation data requires advance computational modelling...

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Identifiers

PMID: 31829157
DOI: 10.1186/s12859-019-3298-z
PMCID: PMC6907172

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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