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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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| Publicado no: | Front Genet |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6883005/ https://ncbi.nlm.nih.gov/pubmed/31824557 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2019.01091 |
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