Genome-wide association analysis by lasso penalized logistic regression
Motivation: In ordinary regression, imposition of a lasso penalty makes continuous model
selection straightforward. Lasso penalized regression is particularly advantageous when the …
selection straightforward. Lasso penalized regression is particularly advantageous when the …
Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes
R Abdollahi-Arpanahi, D Gianola… - Genetics Selection …, 2020 - Springer
Background Transforming large amounts of genomic data into valuable knowledge for
predicting complex traits has been an important challenge for animal and plant breeders …
predicting complex traits has been an important challenge for animal and plant breeders …
A deep auto-encoder model for gene expression prediction
Background Gene expression is a key intermediate level that genotypes lead to a particular
trait. Gene expression is affected by various factors including genotypes of genetic variants …
trait. Gene expression is affected by various factors including genotypes of genetic variants …