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Article

biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements.

Bioinformatics (Oxford, England) - 1 Aug 2017

Pirinen Matti, Benner Christian, Marttinen Pekka, Järvelin Marjo-Riitta, Rivas Manuel A, Ripatti Samuli

Abstract excerpt

SUMMARY: 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 AND IMPLEMENTATION: Implementation in R freely available at...

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PMID: 28369165
DOI: 10.1093/bioinformatics/btx166
PMCID: PMC5860115

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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