Articles with public access mandates - Daniel GianolaLearn more
Available somewhere: 45
Genomic heritability: what is it?
G de Los Campos, D Sorensen, D Gianola
PLoS Genetics 11 (5), e1005048, 2015
Mandates: US National Institutes of Health, Danish Council for Strategic Research
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
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health, German Research Foundation
Multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits
OA Montesinos-López, A Montesinos-López, J Crossa, D Gianola, ...
G3: Genes, genomes, genetics 8 (12), 3829-3840, 2018
Mandates: Bill & Melinda Gates Foundation, US Agency for International Development
Multi-environment genomic prediction of plant traits using deep learners with dense architecture
A Montesinos-López, OA Montesinos-López, D Gianola, J Crossa, ...
G3: Genes, Genomes, Genetics 8 (12), 3813-3828, 2018
Mandates: Bill & Melinda Gates Foundation, US Agency for International Development
A benchmarking between deep learning, support vector machine and Bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding
OA Montesinos-López, J Martín-Vallejo, J Crossa, D Gianola, ...
G3: Genes, Genomes, Genetics 9 (2), 601-618, 2019
Mandates: Bill & Melinda Gates Foundation, US Agency for International Development
Predictive ability of subsets of single nucleotide polymorphisms with and without parent average in US Holsteins
AI Vazquez, GJM Rosa, KA Weigel, G De los Campos, D Gianola, ...
Journal of dairy science 93 (12), 5942-5949, 2010
Mandates: US National Institutes of Health
Mating programs including genomic relationships and dominance effects
C Sun, PM VanRaden, JR O’connell, KA Weigel, D Gianola
Journal of dairy science 96 (12), 8014-8023, 2013
Mandates: US National Institutes of Health
A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens
S Qanbari, TM Strom, G Haberer, S Weigend, AA Gheyas, F Turner, ...
PloS one 7 (11), e49525, 2012
Mandates: German Research Foundation
Defining window-boundaries for genomic analyses using smoothing spline techniques
TM Beissinger, GJM Rosa, SM Kaeppler, D Gianola, N de Leon
Genetics Selection Evolution 47, 1-9, 2015
Mandates: US Department of Energy
Exploration of relationships between claw disorders and milk yield in Holstein cows via recursive linear and threshold models
S König, XL Wu, D Gianola, B Heringstad, H Simianer
Journal of Dairy Science 91 (1), 395-406, 2008
Mandates: German Research Foundation
New deep learning genomic-based prediction model for multiple traits with binary, ordinal, and continuous phenotypes
OA Montesinos-López, J Martín-Vallejo, J Crossa, D Gianola, ...
G3: Genes, genomes, genetics 9 (5), 1545-1556, 2019
Mandates: Bill & Melinda Gates Foundation, US Agency for International Development
Deep kernel and deep learning for genome-based prediction of single traits in multienvironment breeding trials
J Crossa, JWR Martini, D Gianola, P Pérez-Rodríguez, D Jarquin, ...
Frontiers in genetics 10, 1168, 2019
Mandates: Bill & Melinda Gates Foundation, US Agency for International Development, CGIAR
Genome-enabled prediction using probabilistic neural network classifiers
JM González-Camacho, J Crossa, P Pérez-Rodríguez, L Ornella, ...
BMC genomics 17, 1-16, 2016
Mandates: Bill & Melinda Gates Foundation
A comprehensive genetic approach for improving prediction of skin cancer risk in humans
AI Vazquez, G de los Campos, YC Klimentidis, GJM Rosa, D Gianola, ...
Genetics 192 (4), 1493-1502, 2012
Mandates: US National Institutes of Health
Genome-wide association analysis in dogs implicates 99 loci as risk variants for anterior cruciate ligament rupture
LA Baker, B Kirkpatrick, GJM Rosa, D Gianola, B Valente, JP Sumner, ...
PLoS One 12 (4), e0173810, 2017
Mandates: US National Institutes of Health
Do molecular markers inform about pleiotropy?
D Gianola, G de los Campos, MA Toro, H Naya, CC Schön, D Sorensen
Genetics 201 (1), 23-29, 2015
Mandates: US National Institutes of Health, German Research Foundation
Predictive ability of genome-assisted statistical models under various forms of gene action
M Momen, AA Mehrgardi, A Sheikhi, A Kranis, L Tusell, G Morota, ...
Scientific reports 8 (1), 12309, 2018
Mandates: UK Biotechnology and Biological Sciences Research Council
Cross-validation without doing cross-validation in genome-enabled prediction
D Gianola, CC Schön
G3: Genes, Genomes, Genetics 6 (10), 3107-3128, 2016
Mandates: US Department of Agriculture
Sensitivity to prior specification in Bayesian genome-based prediction models
C Lehermeier, V Wimmer, T Albrecht, HJ Auinger, D Gianola, VJ Schmid, ...
Statistical applications in genetics and molecular biology 12 (3), 375-391, 2013
Mandates: German Research Foundation
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