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Article

Deleterious SNP prediction: be mindful of your training data!

Bioinformatics (Oxford, England) - 15 Mar 2007

Care Matthew A, Needham Chris J, Bulpitt Andrew J, Westhead David R

Abstract excerpt

MOTIVATION: To predict which of the vast number of human single nucleotide polymorphisms (SNPs) are deleterious to gene function or likely to be disease associated is an important problem, and many methods have been reported in the literature. All methods require data sets of mutations classified as 'deleterious' or 'neutral' for training and/or validation. While different workers have used different data sets...

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PMID: 17234639
DOI: 10.1093/bioinformatics/btl649

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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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