Bayesian lasso| An extension for genome-wide association study
<p>In genome-wide association study (GWAS), variable selection has been used for prioritizing candidate single-nucleotide polymorphism (SNP). Relating densely located SNPs to a complex trait, we need a method that is robust under various genetic architectures, yet is sensitive enough to detect...
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| Language: | EN |
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New York University
2017
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=10243856 |