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An Improved Version of Logistic Bayesian LASSO for Detecting Rare Haplotype-Environment Interactions with Application to Lung Cancer

The importance of haplotype association and gene–environment interactions (GxE) in the context of rare variants has been underlined in voluminous literature. Recently, a software based on logistic Bayesian LASSO (LBL) was proposed for detecting GxE, where G is a rare (or common) haplotype variant (r...

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書誌詳細
出版年:Cancer Inform
主要な著者: Zhang, Yuan, Biswas, Swati
フォーマット: Artigo
言語:Inglês
出版事項: Libertas Academica 2015
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4332044/
https://ncbi.nlm.nih.gov/pubmed/25733797
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/CIN.S17290
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