Feature selection with interactions in logistic regression models using multivariate synergies for a GWAS application
Sign Up to like & getrecommendations! Published in 2018 at "BMC Genomics"
DOI: 10.1186/s12864-018-4552-x
Abstract: BackgroundGenotype-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 Studies… read more here.
Keywords: multivariate synergy; logistic regression; synergistic interactions; feature selection ... See more keywords
HDSI: High dimensional selection with interactions algorithm on feature selection and testing
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DOI: 10.1371/journal.pone.0246159
Abstract: Feature selection on high dimensional data along with the interaction effects is a critical challenge for classical statistical learning techniques. Existing feature selection algorithms such as random LASSO leverages LASSO capability to handle high dimensional… read more here.
Keywords: high dimensional; feature selection; selected features; selection interactions ... See more keywords