Author

J. D. Washburn

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 4 Evolutionary Biology· 1

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Approach:deep learning· 3 Organism:plant (other)· 3 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

G. C. Conant· 2 shared J. C. Pires· 2 shared J. M. Brose· 2 shared B. Alaca· 1 shared B. Sutherland· 1 shared C. A. Bottoms· 1 shared C. N. Hirsch· 1 shared D. C. Lima· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersPlant Biology

G. C. Conant

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Author profile →

5 papers

Recent·Most cited

Ensemble of BLUP, Machine Learning, and Deep Learning Models Predict Maize Yield Better Than Each Model Alone.

D. R. Kick, J. D. Washburn

The paper shows that combining BLUP, machine learning, and deep learning models through ensembling improves maize yield prediction accuracy compared to individual models.

bioRxiv · Mar 30, 2023 · PreprintPlant Biology

Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning

D. Kick, J. Wallace, J. C. Schnable, J. M. Kolkman, B. Alaca, T. M. Beissinger, D. Ertl, S. Flint-Garcia, J. L. Gage, C. N. Hirsch, J. E. Knoll, N. de Leon, D. C. Lima, D. Moreta, M. Singh, , J. D. Washburn

This study uses deep learning to predict maize yield by integrating genetic, environmental, and management data, finding that models incorporating interactions perform best.

bioRxiv · Jul 29, 2022Plant Biology

Distinct C4 Sub-Types and C3 Bundle Sheath Isolation In The Paniceae Grasses

J. D. Washburn, J. Strable, P. Dickinson, S. S. Kothapalli, J. M. Brose, S. Covshoff, G. C. Conant, J. M. Hibberd, J. C. Pires

The paper examines C4 acid decarboxylase diversity in Paniceae grasses, showing species-specific transcript and enzyme activity patterns and developing a C3 bundle sheath isolation method.

bioRxiv · Sep 19, 2021Plant Biology

Predicting phenotypes from genetic, environment, management, and historical data using CNNs

J. D. Washburn, E. Cimen, G. Ramstein, T. Reeves, P. O'Briant, G. McLean, M. Cooper, G. Hammer, E. S. Buckler

This paper uses CNNs to predict phenotypes from genetic, environmental, and management data, showing improved accuracy with pre-training on historical data.

bioRxiv · May 27, 2021Plant Biology

Phylogeny and Multiple Independent Whole-Genome Duplication Events in the Brassicales

M. E. Mabry, J. M. Brose, P. D. Blischak, B. Sutherland, W. T. Dismukes, C. A. Bottoms, P. P. Edger, J. D. Washburn, H. An, J. C. Hall, M. R. McKain, I. Al-Shehbaz, M. S. Barker, M. E. Schranz, G. C. Conant, J. C. Pires

The paper infers phylogenies and places whole-genome duplication events in Brassicales using phylo-transcriptomics and genome survey sequencing.

bioRxiv · Oct 1, 2019Evolutionary Biology