biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements — Matti Pirinen (2016) | RDL Network
biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements
Preprint 2016 en
Authors
MP
Matti Pirinen
CB
Christian Benner
PM
Pekka Marttinen
Abstract
1 min read
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. Availability Implementation in R freely available at www.iki.fi/mpirinen .
Sebastià Franch‐Expósito, Laia Bassaganyas, María Vila-Casadesús, Eva Hernández‐Illán, Roger Esteban-Fabró, Marcos Díaz‐Gay, Juan José Lozano, Antoni Castells, Josep M. Llovet, Sergi Castellví–Bel, Jordi Camps
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