CERENKOV2: improved detection of functional noncoding SNPs using data-space geometric features

Abstract Background We previously reported on CERENKOV, an approach for identifying regulatory single nucleotide polymorphisms (rSNPs) that is based on 246 annotation features. CERENKOV uses the xgboost classifier and is designed to be used to find causal noncoding SNPs in loci identified by genome-...

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Detalles Bibliográficos

Principais autores:	Yao Yao, Zheng Liu, Qi Wei, Stephen A. Ramsey
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2019-02-01
Series:	BMC Bioinformatics
Assuntos:	SNP GWAS noncoding rSNP Data space Machine learning
Acceso en liña:	http://link.springer.com/article/10.1186/s12859-019-2637-4
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