Kernel-based whole-genome prediction of complex traits: a review
Prediction of genetic values has been a focus of applied quantitative genetics since the
beginning of the 20th century, with renewed interest following the advent of the era of whole …
beginning of the 20th century, with renewed interest following the advent of the era of whole …
Machine learning methods and predictive ability metrics for genome-wide prediction of complex traits
Genome-wide prediction of complex traits has become increasingly important in animal and
plant breeding, and is receiving increasing attention in human genetics. Most common …
plant breeding, and is receiving increasing attention in human genetics. Most common …
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods
Prediction of genetic values is a central problem in quantitative genetics. Over many
decades, such predictions have been successfully accomplished using information on …
decades, such predictions have been successfully accomplished using information on …
Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat data
Background Arguably, genotypes and phenotypes may be linked in functional forms that are
not well addressed by the linear additive models that are standard in quantitative genetics …
not well addressed by the linear additive models that are standard in quantitative genetics …
Reproducing kernel Hilbert spaces regression methods for genomic assisted prediction of quantitative traits
D Gianola, JB Van Kaam - Genetics, 2008 - academic.oup.com
Reproducing kernel Hilbert spaces regression procedures for prediction of total genetic
value for quantitative traits, which make use of phenotypic and genomic data …
value for quantitative traits, which make use of phenotypic and genomic data …
Whole-genome regression and prediction methods applied to plant and animal breeding
G de Los Campos, JM Hickey, R Pong-Wong… - Genetics, 2013 - academic.oup.com
Genomic-enabled prediction is becoming increasingly important in animal and plant
breeding and is also receiving attention in human genetics. Deriving accurate predictions of …
breeding and is also receiving attention in human genetics. Deriving accurate predictions of …
Deep kernel and deep learning for genome-based prediction of single traits in multienvironment breeding trials
Deep learning (DL) is a promising method for genomic-enabled prediction. However, the
implementation of DL is difficult because many hyperparameters (number of hidden layers …
implementation of DL is difficult because many hyperparameters (number of hidden layers …
A review of machine learning models applied to genomic prediction in animal breeding
The advent of modern genotyping technologies has revolutionized genomic selection in
animal breeding. Large marker datasets have shown several drawbacks for traditional …
animal breeding. Large marker datasets have shown several drawbacks for traditional …
Priors in whole-genome regression: the Bayesian alphabet returns
D Gianola - Genetics, 2013 - academic.oup.com
Whole-genome enabled prediction of complex traits has received enormous attention in
animal and plant breeding and is making inroads into human and even Drosophila genetics …
animal and plant breeding and is making inroads into human and even Drosophila genetics …
Using local convolutional neural networks for genomic prediction
The prediction of breeding values and phenotypes is of central importance for both livestock
and crop breeding. In this study, we analyze the use of artificial neural networks (ANN) and …
and crop breeding. In this study, we analyze the use of artificial neural networks (ANN) and …