Article
Imputing genotypes using regularized generalized linear regression models.
Statistical applications in genetics and molecular biology - 1 Oct 2014
Wong William W L, Griesman Josh, Feng Zeny Z
Abstract excerpt
As genomic sequencing technologies continue to advance, researchers are furthering their understanding of the relationships between genetic variants and expressed traits. However, missing data can significantly limit the power of a genetic study. Here, the use of a regularized generalized linear model, denoted by GLMNET, is proposed to impute missing genotypes. The method aims to address certain limitations of...
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