Comparing Deep Learning Approaches for Understanding Genotype × Phenotype Interactions in Biomass Sorghum

We explore the use of deep convolutional neural networks (CNNs) trained on overhead imagery of biomass sorghum to ascertain the relationship between single nucleotide polymorphisms (SNPs), or groups of related SNPs, and the phenotypes they control. We consider both CNNs trained explicitly on the cla...

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Detalles Bibliográficos
Autores principales: Zhang, Zeyu, Pope, Madison, Shakoor, Nadia, Pless, Robert, Mockler, Todd C., Stylianou, Abby
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289439/
https://www.ncbi.nlm.nih.gov/pubmed/35860344
http://dx.doi.org/10.3389/frai.2022.872858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289439/
https://www.ncbi.nlm.nih.gov/pubmed/35860344
http://dx.doi.org/10.3389/frai.2022.872858

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