Supplemental Material for Han et al., 2021

dataset

posted on 2021-01-27, 16:16 authored by Junjie Han, Cedric Gondro, Kenneth Reid, Juan P. Steibel

Supplemental material contains the constraints for DL architecture, a summary of predictive performance for GBLUP/MLP/CNN models, the distributions of selected hyperparameters, and the architectures of DL models derived from other studies.

History

Article title

Heuristic hyperparameter optimization of deep learning models for genomic prediction

Usage metrics

G3: Genes|Genomes|Genetics

Keywords

genomic prediction Deep Learning Hyperparameter Optimization Evolutionary Algorithm Differential Evolution Quantitative Genetics (incl. Disease and Trait Mapping Genetics)

Licence

CC BY 4.0