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Article

Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations.

BioMed research international - 1 Jan 2015

Chen Yukun, Sun Jingchun, Huang Liang-Chin, Xu Hua, Zhao Zhongming

Abstract excerpt

An accurate classification of human cancer, including its primary site, is important for better understanding of cancer and effective therapeutic strategies development. The available big data of somatic mutations provides us a great opportunity to investigate cancer classification using machine learning. Here, we explored the patterns of 1,760,846 somatic mutations identified from 230,255 cancer patients along...

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Identifiers

PMID: 26539502
DOI: 10.1155/2015/491502
PMCID: PMC4619847

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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