biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements.
Bioinformatics
; 33(15): 2405-2407, 2017 Aug 01.
Article
en En
| MEDLINE
| ID: mdl-28369165
ABSTRACT
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 www.iki.fi/mpirinen . CONTACT matti.pirinen@helsinki.fi. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Variación Genética
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Programas Informáticos
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Modelos Estadísticos
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Genética de Población
Tipo de estudio:
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2017
Tipo del documento:
Article
País de afiliación:
Finlandia