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Multi-environment genomic prediction of plant traits using deep learners with dense architecture

by Montesinos-Lopez, A., Montesinos-Lopez, O.A., Gianola, D., Crossa, J., Hernández Suárez, C.M.
Published 2018

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2

Deep-learning power and perspectives for genomic selection

by Montesinos-Lopez, O.A., Montesinos-Lopez, A., Hernández Suárez, C.M., Barrón-López, A., Crossa, J.
Published 2021

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3

Multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits

by Montesinos-Lopez, O.A., Montesinos-Lopez, A., Crossa, J., Gianola, D., Hernández Suárez, C.M., Martin-Vallejo, J.
Published 2018

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4

New deep learning genomic-based prediction model for multiple traits with binary, ordinal, and continuous phenotypes

by Montesinos-Lopez, O.A., Martin-Vallejo, J., Crossa, J., Gianola, D., Hernández Suárez, C.M., Montesinos-Lopez, A., Juliana, P., Singh, R.P.
Published 2019

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5

A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding

by Montesinos-Lopez, O.A., Martin-Vallejo, J., Crossa, J., Gianola, D., Hernández Suárez, C.M., Montesinos-Lopez, A., Juliana, P., Singh, R.P.
Published 2019

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6

A novel method for genomic-enabled prediction of cultivars in new environments

by Montesinos-Lopez, O.A., Ramos-Pulido, S., Hernández Suárez, C.M., Mosqueda-Gonzalez, B.A., Valladares-Anguiano, F.A., Vitale, P., Montesinos-Lopez, A., Crossa, J.
Published 2023

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