Results 1 to 10 of about 6,446,441 (278)

Prediction of complex human traits using the genomic best linear unbiased predictor. [PDF]

PLoS Genetics, 2013
Despite important advances from Genome Wide Association Studies (GWAS), for most complex human traits and diseases, a sizable proportion of genetic variance remains unexplained and prediction accuracy (PA) is usually low. Evidence suggests that PA can be
Gustavo de Los Campos, Ana I Vazquez, Rohan Fernando, Yann C Klimentidis, Daniel Sorensen   +4 more
doaj   +6 more sources

Approximation of reliabilities for random-regression single-step genomic best linear unbiased predictor models [PDF]

JDS Communications
Random-regression models (RRM) are used in national genetic evaluations for longitudinal traits. The outputs of RRM are an index based on random-regression coefficients and its reliability.
M. Bermann, I. Aguilar, A. Alvarez Munera, J. Bauer, J. Šplíchal, D. Lourenco, I. Misztal   +6 more
doaj   +4 more sources

Breeding value reliabilities for multiple-trait single-step genomic best linear unbiased predictor

Journal of Dairy Science, 2022
: Approximate multistep methods to calculate reliabilities for estimated breeding values in large genetic evaluations were developed for single-trait (ST-R2A) and multitrait (MT-R2A) single-step genomic BLUP (ssGBLUP) models.
Hafedh Ben Zaabza, Matti Taskinen, Esa A. Mäntysaari, Timo Pitkänen, Gert Pedersen Aamand, Ismo Strandén   +5 more
doaj   +5 more sources

Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods [PDF]

Frontiers in Plant Science, 2019
Although durum wheat (Triticum turgidum var. durum Desf.) is a minor cereal crop representing just 5–7% of the world’s total wheat crop, it is a staple food in Mediterranean countries, where it is used to produce pasta, couscous, bulgur and bread.
Osval A. Montesinos-López, Abelardo Montesinos-López, Roberto Tuberosa, Marco Maccaferri, Giuseppe Sciara, Karim Ammar, José Crossa   +6 more
doaj   +2 more sources

Multivariate best linear unbiased predictor as a tool to improve multi-trait selection in sugarcane [PDF]

Pesquisa Agropecuária Brasileira, 2020
: The objective of this work was to evaluate the use of the multivariate best linear unbiased predictor (BLUP) method for multi-trait selection, to estimate the genetic parameters in sugarcane (Saccharum officinarum) genotypes. The experiment was carried
Ivan Ricardo Carvalho, Vinícius Jardel Szareski, José Antônio Gonzalez da Silva, Andrei Caíque Pires Nunes, Tiago Corazza da Rosa, Maurício Horbach Barbosa, Deivid Araújo Magano, Giordano Gelain Conte, Braulio Otomar Caron, Velci Queiróz de Souza   +9 more
doaj   +5 more sources

Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and Young. [PDF]

J Anim Sci, 2022
AbstractThe objectives of this study were to develop an efficient algorithm for calculating prediction error variances (PEVs) for genomic best linear unbiased prediction (GBLUP) models using the Algorithm for Proven and Young (APY), extend it to single-step GBLUP (ssGBLUP), and apply this algorithm for approximating the theoretical reliabilities for ...
Bermann M, Lourenco D, Misztal I.
europepmc   +4 more sources

Comparing algorithms to approximate accuracies for single-step genomic best linear unbiased predictor. [PDF]

J Anim Sci
Abstract The exact accuracy of estimated breeding values can be calculated based on the prediction error variances obtained from the diagonal of the inverse of the left-hand side (LHS) of the mixed model equations (MME). However, inverting the LHS is not computationally feasible for large datasets, especially if genomic information is ...
Ramos P, Garcia A, Retallik K, Bermann M, Tsuruta S, Misztal I, Veroneze R, Lourenco D.   +7 more
europepmc   +3 more sources

Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge [PDF]

Frontiers in Psychiatry, 2020
We ranked third in the Predictive Analytics Competition (PAC) 2019 challenge by achieving a mean absolute error (MAE) of 3.33 years in predicting age from T1-weighted MRI brain images.
Baptiste Couvy-Duchesne, Baptiste Couvy-Duchesne, Baptiste Couvy-Duchesne, Baptiste Couvy-Duchesne, Baptiste Couvy-Duchesne, Baptiste Couvy-Duchesne, Johann Faouzi, Johann Faouzi, Johann Faouzi, Johann Faouzi, Johann Faouzi, Benoît Martin, Benoît Martin, Benoît Martin, Benoît Martin, Benoît Martin, Elina Thibeau–Sutre, Elina Thibeau–Sutre, Elina Thibeau–Sutre, Elina Thibeau–Sutre, Elina Thibeau–Sutre, Adam Wild, Adam Wild, Adam Wild, Adam Wild, Adam Wild, Manon Ansart, Manon Ansart, Manon Ansart, Manon Ansart, Manon Ansart, Stanley Durrleman, Stanley Durrleman, Stanley Durrleman, Stanley Durrleman, Stanley Durrleman, Didier Dormont, Didier Dormont, Didier Dormont, Didier Dormont, Didier Dormont, Didier Dormont, Ninon Burgos, Ninon Burgos, Ninon Burgos, Ninon Burgos, Ninon Burgos, Olivier Colliot, Olivier Colliot, Olivier Colliot, Olivier Colliot, Olivier Colliot   +51 more
doaj   +2 more sources

122 Comparison of Algorithms for Approximation of Accuracies for Single-Step Genomic Best Linear Unbiased Predictor Models [PDF]

J Anim Sci, 2023
Abstract The theoretical accuracy of breeding values can be calculated based on the prediction error variances obtained from the diagonal of the inverse of the left-hand side of the mixed model equations. However, inverting the coefficient matrix is not computationally feasible for an extensive system of equations, especially if genomic ...
Pedro Vital Brasil Ramos, Andre Garcia, Kelli J Retallick, Matias Bermann, Ignacy Misztal, Daniela Lourenco   +5 more
europepmc   +2 more sources

Weighted single-step genomic best linear unbiased predictor enhances the genomic prediction accuracy for milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation [PDF]

JDS Communications
Previous studies have shown that milk citrate predicted by milk mid-infrared (MIR) spectra is strongly affected by a few genomic regions. This study aimed to explore the effect of weighted single-step GBLUP on the accuracy of genomic prediction (GP) for ...
Y. Chen, H. Atashi, C. Grelet, N. Gengler   +3 more
doaj   +2 more sources