关注
Daniel Gianola
Daniel Gianola
Sewall Wright Emeritus Professor University of Wisconsin-Madison
在 ansci.wisc.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Likelihood, Bayesian and MCMC Methods in Quantitative Genetics
D Sorensen, D Gianola
Springer, 2002
13082002
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
8572010
Sire evaluation for ordered categorical data with a threshold model
D Gianola, JL Foulley
Genetique Selection Evolution 15 (2), 201-224, 1983
8091983
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
7272009
Theory and analysis of threshold characters
D Gianola
Journal of animal Science 54 (5), 1079-1096, 1982
5841982
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
5732009
Genomic-assisted prediction of genetic value with semiparametric procedures
D Gianola, RL Fernando, A Stella
Genetics 173 (3), 1761-1776, 2006
5152006
Bayesian methods in animal breeding theory
D Gianola, RL Fernando
Journal of Animal Science 63 (1), 217-244, 1986
4901986
Bayesian inference in threshold models using Gibbs sampling
DA Sorensen, S Andersen, D Gianola, I Korsgaard
Genetics Selection Evolution 27 (3), 229-249, 1995
4861995
Priors in whole-genome regression: the Bayesian alphabet returns
D Gianola
Genetics 194 (3), 573-596, 2013
4802013
Reproducing kernel Hilbert spaces regression methods for genomic assisted prediction of quantitative traits
D Gianola, JB Van Kaam
Genetics 178 (4), 2289-2303, 2008
4612008
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
3552010
Genomic heritability: what is it?
G de Los Campos, D Sorensen, D Gianola
PLoS Genetics 11 (5), e1005048, 2015
3052015
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
3011994
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, 1-14, 2011
2842011
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
2802010
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), 2010
2642010
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
2531993
Quantitative genetic models for describing simultaneous and recursive relationships between phenotypes
D Gianola, D Sorensen
Genetics 167 (3), 1407-1424, 2004
2382004
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
P Pérez-Rodríguez, D Gianola, JM González-Camacho, J Crossa, ...
G3: Genes| Genomes| Genetics 2 (12), 1595-1605, 2012
2362012
系统目前无法执行此操作,请稍后再试。
文章 1–20