Daniel Gianola
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Likelihood, Bayesian and MCMC methods in quantitative genetics
D Sorensen, D Gianola, D Gianola
Springer-Verlag 252, 253, 2002
Sire evaluation for ordered categorical data with a threshold model
D Gianola, JL Foulley
Genetique Selection Evolution 15 (2), 201-224, 1983
Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers
J Crossa, G Campos, P Pérez, D Gianola, J Burgueno, JL Araus, ...
Genetics 186 (2), 713-724, 2010
Predicting quantitative traits with regression models for dense molecular markers and pedigree
G De Los Campos, H Naya, D Gianola, J Crossa, A Legarra, E Manfredi, ...
Genetics 182 (1), 375-385, 2009
Theory and analysis of threshold characters
D Gianola
Journal of animal science 54 (5), 1079-1096, 1982
Additive genetic variability and the Bayesian alphabet
D Gianola, G de Los Campos, WG Hill, E Manfredi, R Fernando
Genetics 183 (1), 347-363, 2009
Bayesian methods in animal breeding theory
D Gianola, RL Fernando
Journal of Animal Science 63 (1), 217-244, 1986
Bayesian inference in threshold models using Gibbs sampling
DA Sorensen, S Andersen, D Gianola, I Korsgaard
Genetics Selection Evolution 27 (3), 229-249, 1995
Genomic-assisted prediction of genetic value with semiparametric procedures
D Gianola, RL Fernando, A Stella
Genetics 173 (3), 1761-1776, 2006
Reproducing kernel Hilbert spaces regression methods for genomic assisted prediction of quantitative traits
D Gianola, JB Van Kaam
Genetics 178 (4), 2289-2303, 2008
Priors in whole-genome regression: the Bayesian alphabet returns
D Gianola
Genetics 194 (3), 573-596, 2013
Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs
CS Wang, JJ Rutledge, D Gianola
Genetics Selection Evolution 26 (2), 91-115, 1994
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods
G De los Campos, D Gianola, GJM Rosa, KA Weigel, J Crossa
Genetics Research 92 (4), 295-308, 2010
Predicting genetic predisposition in humans: the promise of whole-genome markers
G De Los Campos, D Gianola, DB Allison
Nature Reviews Genetics 11 (12), 880-886, 2010
Genomic heritability: what is it?
G de Los Campos, D Sorensen, D Gianola
PLoS Genetics 11 (5), e1005048, 2015
Marginal inferences about variance components in a mixed linear model using Gibbs sampling
CS Wang, JJ Rutledge, D Gianola
Genetics Selection Evolution 25 (1), 41-62, 1993
Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R
P Pérez, G de Los Campos, J Crossa, D Gianola
The plant genome 3 (2), 106, 2010
Quantitative genetic models for describing simultaneous and recursive relationships between phenotypes
D Gianola, D Sorensen
Genetics 167 (3), 1407-1424, 2004
Using Whole-Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster
U Ober, JF Ayroles, EA Stone, S Richards, D Zhu, RA Gibbs, C Stricker, ...
PLoS genetics 8 (5), e1002685, 2012
Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat
D Gianola, H Okut, KA Weigel, GJM Rosa
BMC genetics 12 (1), 1-14, 2011
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