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Article

A sequence-based method to predict the impact of regulatory variants using random forest.

BMC systems biology - 14 Mar 2017

Liu Qiao, Gan Mingxin, Jiang Rui

Abstract excerpt

BACKGROUND: Most disease-associated variants identified by genome-wide association studies (GWAS) exist in noncoding regions. In spite of the common agreement that such variants may disrupt biological functions of their hosting regulatory elements, it remains a great challenge to characterize the risk of a genetic variant within the implicated genome sequence. Therefore, it is essential to develop an effective...

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PMID: 28361702
DOI: 10.1186/s12918-017-0389-1
PMCID: PMC5374684

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FOXA1

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