Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean

Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean

Genomic selection uses single-nucleotide polymorphisms (SNPs) to predict quantitative phenotypes for enhancing traits in breeding populations and has been widely used to increase breeding efficiency for plants and animals. Existing statistical methods rely on a prior distribution assumption of imput...

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Bibliographic Details
Main Authors: Yang Liu, Duolin Wang, Fei He, Juexin Wang, Trupti Joshi, Dong Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Genetics
Subjects:
genomic selection
deep learning
genome-wide association study
soybean
genotype contribution
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.01091/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.01091/full

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