Article

Prediction of deleterious nonsynonymous SNPs by integrating multiple classifiers – An application to neurodegenerative diseases

2015-04-21

Abstract excerpt

In this study, we propose a logistic regression model to classify deleterious missense mutation from a list of nonsynonymous SNPs (nsSNPs) – where multiple features (i.e. rank scores of 18 classifiers e.g. SIFT, PolyPhen2, MutationTaster, MutationAssessor, FATHMM, VEST 3.0, RadialSVM, LR, CADD, etc. from dbNSFP v2.5) are combined for 44,702 UniProt human polymorphisms and disease mutations (19,033 disease and 25,6...

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Literature Corpus work: 7315b083-a5a3-5163-8669-2be7fcc3c680
DOI: 10.7287/peerj.preprints.994v1

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