Feature selection with interactions in logistic regression models using multivariate synergies for a GWAS application

Feature selection with interactions in logistic regression models using multivariate synergies for a GWAS application

Abstract Background Genotype-phenotype association has been one of the long-standing problems in bioinformatics. Identifying both the marginal and epistatic effects among genetic markers, such as Single Nucleotide Polymorphisms (SNPs), has been extensively integrated in Genome-Wide Association Studi...

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Bibliographic Details
Main Authors: Easton Li Xu, Xiaoning Qian, Qilian Yu, Han Zhang, Shuguang Cui
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Genomics
Subjects:
Genotype-phenotype association
Feature selection
Genome-wide association study
Synergistic interaction
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Online Access:http://link.springer.com/article/10.1186/s12864-018-4552-x

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http://link.springer.com/article/10.1186/s12864-018-4552-x

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