Search research articles
Contact Us
Filters
Showing results (1-10 of 3) with videos related to
Page
of 1
Sort By:
G3 (Bethesda, Md.)
|
September 20, 2022
learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data
Cathy C Westhues, Henner Simianer, Timothy M Beissinger
Frontiers in Plant Science
|
April 17, 2026
Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation
Bright Enogieru Osatohanmwen, Indalécio Cunha Vieira, Mahmood Gholami, et al.
Frontiers in Plant Science
|
December 9, 2021
Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks
Cathy C Westhues, Gregory S Mahone, Sofia da Silva, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 3) with videos related to
Sort By:
Page
of 1
G3 (Bethesda, Md.)
|
September 20, 2022
learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data
Cathy C Westhues, Henner Simianer, Timothy M Beissinger
Frontiers in Plant Science
|
April 17, 2026
Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation
Bright Enogieru Osatohanmwen, Indalécio Cunha Vieira, Mahmood Gholami, et al.
Frontiers in Plant Science
|
December 9, 2021
Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks
Cathy C Westhues, Gregory S Mahone, Sofia da Silva, et al.
Page
of 1