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Article

A penalized linear mixed model with generalized method of moments estimators for complex phenotype prediction.

Bioinformatics (Oxford, England) - 30 Nov 2022

Wang Xiaqiong, Wen Yalu

Abstract excerpt

MOTIVATION: Linear mixed models (LMMs) have long been the method of choice for risk prediction analysis on high-dimensional data. However, it remains computationally challenging to simultaneously model a large amount of variants that can be noise or have predictive effects of complex forms. RESULTS: In this work, we have developed a penalized LMM with generalized method of moments (pLMMGMM) estimators for...

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PMID: 36205617
DOI: 10.1093/bioinformatics/btac659

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