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WISH-R– a fast and efficient tool for construction of epistatic networks for complex traits and diseases

Abstract Background Genetic epistasis is an often-overlooked area in the study of the genomics of complex traits. Genome-wide association studies are a useful tool for revealing potential causal genetic variants, but in this context, epistasis is generally ignored. Data complexity and interpretation...

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主要な著者: Victor A. O. Carmelo, Lisette J. A. Kogelman, Majbritt Busk Madsen, Haja N. Kadarmideen
フォーマット: Artigo
言語:Inglês
出版事項: BMC 2018-07-01
シリーズ:BMC Bioinformatics
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オンライン・アクセス:http://link.springer.com/article/10.1186/s12859-018-2291-2
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