Detecting gene-gene interactions from GWAS using diffusion kernel principal components.

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Bibliographic Details
Title: Detecting gene-gene interactions from GWAS using diffusion kernel principal components.
Authors: Walakira A; Centre for Functional Genomics and Bio-Chips, Institute for Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia. adwalakira@gmail.com., Ocira J; BIO3 - Laboratory for Systems Genetics, GIGA-R Medical Genomics, University of Liège, Liège, Belgium., Duroux D; BIO3 - Laboratory for Systems Genetics, GIGA-R Medical Genomics, University of Liège, Liège, Belgium., Fouladi R; BIO3 - Laboratory for Systems Genetics, GIGA-R Medical Genomics, University of Liège, Liège, Belgium., Moškon M; Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia., Rozman D; Centre for Functional Genomics and Bio-Chips, Institute for Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia., Van Steen K; BIO3 - Laboratory for Systems Genetics, GIGA-R Medical Genomics, University of Liège, Liège, Belgium.; BIO3 - Laboratory for Systems Medicine, Department of Human Genetics, KU Leuven, Leuven, Belgium.
Source: BMC bioinformatics [BMC Bioinformatics] 2022 Feb 01; Vol. 23 (1), pp. 57. Date of Electronic Publication: 2022 Feb 01.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1471-2105
DOI:10.1186/s12859-022-04580-7