Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach

Por Strandén, Ismo, Gianola, Daniel
Publicado em 1999

Attenuating effects of preferential treatment with Student-t mixed linear models: a simulation study

Por Strandén, Ismo, Gianola, Daniel
Publicado em 1998

Allele coding in genomic evaluation

Por Strandén, Ismo, Christensen, Ole F
Publicado em 2011

Single-step SNP-BLUP with on-the-fly imputed genotypes and residual polygenic effects

Por Taskinen, Matti, Mäntysaari, Esa A., Strandén, Ismo
Publicado no Genet Sel Evol (2017)

Large-scale genomic prediction using singular value decomposition of the genotype matrix

Por Ødegård, Jørgen, Indahl, Ulf, Strandén, Ismo, Meuwissen, Theo H. E.
Publicado no Genet Sel Evol (2018)

Estimation of non-linear growth models by linearization: a simulation study using a Gompertz function

Por Mäntysaari Esa A, Sevón-Aimonen Marja-Liisa, Strandén Ismo, Vuori Kaarina
Publicado em 2006-06-01

Estimation of non-linear growth models by linearization: a simulation study using a Gompertz function

Por Vuori, Kaarina, Strandén, Ismo, Sevón-Aimonen, Marja-Liisa, Mäntysaari, Esa A
Publicado em 2006

Genomic relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers

Por Su, Guosheng, Guldbrandtsen, Bernt, Aamand, Gert P, Strandén, Ismo, Lund, Mogens S
Publicado em 2014

Employing a Monte Carlo Algorithm in Newton-Type Methods for Restricted Maximum Likelihood Estimation of Genetic Parameters

Por Matilainen, Kaarina, Mäntysaari, Esa A., Lidauer, Martin H., Strandén, Ismo, Thompson, Robin
Publicado em 2013

A Comparison of Approaches to Estimate the Inbreeding Coefficient and Pairwise Relatedness Using Genomic and Pedigree Data in a Sheep Population

Por Li, Meng-Hua, Strandén, Ismo, Tiirikka, Timo, Sevón-Aimonen, Marja-Liisa, Kantanen, Juha
Publicado em 2011