Open AccessCross Entropy Based Sparse Logistic Regression to Identify Phenotype-Related Mutations in Methicillin-Resistant <i>Staphylococcus aureus</i>
Author(s) -
Bahriddin Abapihi,
Mohammad Reza Faisal,
Ngoc Giang Nguyen,
Mera Kartika Delimayanti,
Bedy Purnama,
Favorisen Rosyking Lumbanraja,
Dau Phan,
Mamoru Kubo,
Kenji Satou
Publication year - 2020
Publication title -
journal of biomedical science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1937-688X
pISSN - 1937-6871
DOI - 10.4236/jbise.2020.137016
Subject(s) - phenotype , logistic regression , feature selection , staphylococcus aureus , pathogenicity , entropy (arrow of time) , computational biology , genome , biology , genetics , computer science , artificial intelligence , bacteria , gene , machine learning , microbiology and biotechnology , physics , quantum mechanics
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