Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids

Machine learning methods such as multilayer perceptrons (MLP) and Convolutional Neural Networks (CNN) have emerged as promising methods for genomic prediction (GP). In this context, we assess the performance of MLP and CNN on regression and classification tasks in a case study with maize hybrids. Th...

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Detalles Bibliográficos
Autores principales: Galli, Giovanni, Sabadin, Felipe, Yassue, Rafael Massahiro, Galves, Cassia, Carvalho, Humberto Fanelli, Crossa, Jose, Montesinos-López, Osval Antonio, Fritsche-Neto, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936805/
https://www.ncbi.nlm.nih.gov/pubmed/35321444
http://dx.doi.org/10.3389/fpls.2022.845524

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936805/
https://www.ncbi.nlm.nih.gov/pubmed/35321444
http://dx.doi.org/10.3389/fpls.2022.845524

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