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Article

A new disease-specific machine learning approach for the prediction of cancer-causing missense variants.

Genomics - 1 Oct 2011

Capriotti Emidio, Altman Russ B

Abstract excerpt

High-throughput genotyping and sequencing techniques are rapidly and inexpensively providing large amounts of human genetic variation data. Single Nucleotide Polymorphisms (SNPs) are an important source of human genome variability and have been implicated in several human diseases, including cancer. Amino acid mutations resulting from non-synonymous SNPs in coding regions may generate protein functional changes...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 21763417
DOI: 10.1016/j.ygeno.2011.06.010
PMCID: PMC3371640

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