Showing results (1-10 of 47) with videos related to
Sort By:
Pageof 5
Genetics|August 3, 2026
Uncertainty-aware breeding decisions: MCMC-based optimum contribution selection increases breeding decision robustnessJon Ahlinder, Patrik WaldmannBMC Bioinformatics|October 27, 2021
A proximal LAVA method for genome-wide association and prediction of traits with mixed inheritance patternsPatrik WaldmannEvolution; International Journal of Organic Evolution|April 8, 2004
A quantitative genetic method for estimating developmental instabilityPatrik WaldmannGenetics, Selection, Evolution : GSE|December 23, 2018
Approximate Bayesian neural networks in genomic predictionPatrik WaldmannFrontiers in Genetics|October 22, 2019
On the Use of the Pearson Correlation Coefficient for Model Evaluation in Genome-Wide PredictionPatrik WaldmannEvolution; International Journal of Organic Evolution|September 25, 2003
Bayesian inference of inbreeding depression in controlled crossesPatrik WaldmannGenetics, Selection, Evolution : GSE|June 12, 2016
Genome-wide prediction using Bayesian additive regression treesPatrik WaldmannEvolution; International Journal of Organic Evolution|February 4, 2009
Easy and flexible Bayesian inference of quantitative genetic parametersPatrik WaldmannBioinformatics Advances|November 18, 2025
Genomic optimum contribution selection and mate allocation using JuMPPatrik WaldmannBMC Genetics|November 10, 2009
Optimization of selection contribution and mate allocations in monoecious tree breeding populationsJon Hallander, Patrik WaldmannPageof 5