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Article

Major copy proportion analysis of tumor samples using SNP arrays.

BMC bioinformatics - 21 Apr 2008

Li Cheng, Beroukhim Rameen, Weir Barbara A, Winckler Wendy, Garraway Levi A, Sellers William R, Meyerson Matthew

Abstract excerpt

BACKGROUND: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the human genome and are useful as genomic markers. Oligonucleotide SNP microarrays have been developed for high-throughput genotyping of up to 900,000 human SNPs and have been used widely in linkage and cancer genomics studies. We have previously used Hidden Markov Models (HMM) to analyze SNP array data for inferring...

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Identifiers

PMID: 18426588
DOI: 10.1186/1471-2105-9-204
PMCID: PMC2375907

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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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