Multikernel linear mixed model with adaptive lasso for complex phenotype prediction

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Multikernel linear mixed models for complex phenotype prediction.

Linear mixed models (LMMs) and their extensions have recently become the method of choice in phenotype prediction for complex traits. However, LMM use to date has typically been limited by assuming simple genetic architectures. Here, we present multikernel linear mixed model (MKLMM), a predictive modeling framework that extends the standard LMM using multiple-kernel machine learning approaches....

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ژورنال

عنوان ژورنال: Statistics in Medicine

سال: 2020

ISSN: 0277-6715,1097-0258

DOI: 10.1002/sim.8477