L2,1-norm regularized multivariate regression model with applications to genomic prediction

AJ Mbebi, H Tong, Z Nikoloski - Bioinformatics, 2021 - academic.oup.com
Motivation Genomic selection (GS) is currently deemed the most effective approach to speed
up breeding of agricultural varieties. It has been recognized that consideration of multiple …

[PDF][PDF] L2,-norm regularized multivariate regression model with applications to genomic prediction

AJ Mbebi, H Tong, Z Nikoloski - Bioinformatics, 2021 - pdfs.semanticscholar.org
Motivation: Genomic selection (GS) is currently deemed the most effective approach to
speed up breeding of agricultural varieties. It has been recognized that consideration of …

[HTML][HTML] L2, 1-norm regularized multivariate regression model with applications to genomic prediction

AJ Mbebi, H Tong, Z Nikoloski - Bioinformatics, 2021 - ncbi.nlm.nih.gov
Results Here, we propose a L 2, 1-norm regularized multivariate regression model and
devise a fast and efficient iterative optimization algorithm, called L 2, 1-joint, applicable in …

L2, 1-norm regularized multivariate regression model with applications to genomic prediction

AJ Mbebi, H Tong, Z Nikoloski - Bioinformatics, 2021 - pure.mpg.de
Genomic selection (GS) is currently deemed the most effective approach to speed up
breeding of agricultural varieties. It has been recognized that consideration of multiple traits …

L2,1-norm regularized multivariate regression model with applications to genomic prediction.

AJ Mbebi, H Tong, Z Nikoloski - Bioinformatics, 2021 - search.ebscohost.com
Motivation Genomic selection (GS) is currently deemed the most effective approach to speed
up breeding of agricultural varieties. It has been recognized that consideration of multiple …

L2, 1-norm regularized multivariate regression model with applications to genomic prediction.

AJ Mbebi, H Tong, Z Nikoloski - 2021 - cabidigitallibrary.org
Motivation Genomic selection (GS) is currently deemed the most effective approach to speed
up breeding of agricultural varieties. It has been recognized that consideration of multiple …

[PDF][PDF] L2,-norm regularized multivariate regression model with applications to genomic prediction

AJ Mbebi, H Tong, Z Nikoloski - 2021 - scholar.archive.org
Motivation: Genomic selection (GS) is currently deemed the most effective approach to
speed up breeding of agricultural varieties. It has been recognized that consideration of …

[PDF][PDF] L2,1-norm regularized multivariate regression model with applications to genomic prediction

AJ Mbebi, H Tong, Z Nikoloski - Bioinformatics, 2021 - academic.oup.com
Motivation Genomic selection (GS) is currently deemed the most effective approach to speed
up breeding of agricultural varieties. It has been recognized that consideration of multiple …

L2, 1-norm regularized multivariate regression model with applications to genomic prediction.

AJ Mbebi, H Tong, Z Nikoloski - Bioinformatics (Oxford, England), 2021 - europepmc.org
Results Here, we propose a L 2, 1-norm regularized multivariate regression model and
devise a fast and efficient iterative optimization algorithm, called L 2, 1-joint, applicable in …

L2, 1-norm regularized multivariate regression model with applications to genomic prediction

AJ Mbebi, H Tong, Z Nikoloski - Bioinformatics (Oxford …, 2021 - pubmed.ncbi.nlm.nih.gov
Motivation Genomic selection (GS) is currently deemed the most effective approach to speed
up breeding of agricultural varieties. It has been recognized that consideration of multiple …