Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure.

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Title: Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure.
Authors: Abegaz F; GIGA-R, Medical Genomics - BIO3, University of Liège, Liège, Belgium. fentawabegaz@yahoo.com., Van Lishout F; GIGA-R, Medical Genomics - BIO3, University of Liège, Liège, Belgium., Mahachie John JM; GIGA-R, Medical Genomics - BIO3, University of Liège, Liège, Belgium., Chiachoompu K; GIGA-R, Medical Genomics - BIO3, University of Liège, Liège, Belgium., Bhardwaj A; GIGA-R, Medical Genomics - BIO3, University of Liège, Liège, Belgium., Duroux D; GIGA-R, Medical Genomics - BIO3, University of Liège, Liège, Belgium., Gusareva ES; GIGA-R, Medical Genomics - BIO3, University of Liège, Liège, Belgium., Wei Z; Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA., Hakonarson H; Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.; Department of Pediatrics, Division of Human Genetics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Van Steen K; GIGA-R, Medical Genomics - BIO3, University of Liège, Liège, Belgium.; WELBIO (Walloon Excellence in Lifesciences and Biotechnology), University of Liège, Liège, Belgium.
Source: BioData mining [BioData Min] 2021 Feb 19; Vol. 14 (1), pp. 16. Date of Electronic Publication: 2021 Feb 19.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101319161 Publication Model: Electronic Cited Medium: Print ISSN: 1756-0381 (Print) Linking ISSN: 17560381 NLM ISO Abbreviation: BioData Min Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1756-0381
DOI:10.1186/s13040-021-00247-w