biMM: Efficient estimation of genetic variances andcovariances for cohorts with high-dimensional phenotype measurements
Matti PirineniD, Christian BenneriD, Pekka MarttineniD, Marjo‐Riitta JärveliniD, Manuel A. RivasiD, Samuli RipattiiD
Abstract
Genetic research utilizes a decomposition of trait variances and covariances into genetic and environmental parts. Our software package biMM is a computationally efficient implementation of a bivariate linear mixed model for settings where hundreds of traits have been measured on partially overlapping sets of individuals.\n\nAvailabilityImplementation in R freely available at www.iki.fi/mpirinen.
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