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Article

Empirical prediction of genomic susceptibilities for multiple cancer classes.

Proceedings of the National Academy of Sciences of the United States of America - 4 Feb 2014

Kim Minseung, Kim Sung-Hou

Abstract excerpt

An empirical approach is presented for predicting the genomic susceptibility of an individual to the most likely one among nine traits, consisting of eight major cancer classes plus a healthy trait. We use four prediction methods by applying two supervised learning algorithms to two different descriptors of common genomic variations (the profiles of genotypes of SNPs and SNP syntaxes with low P values or low...

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Identifiers

PMID: 24449885
DOI: 10.1073/pnas.1318383110
PMCID: PMC3918817

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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