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...
| Main Authors: | , |
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| Format: | Online |
| Language: | English |
| Published: |
Libertas Academica
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4332044/ |