Author

José Ignacio Varela

University of Wisconsin–MadisonORCID 0000-0001-7494-6876Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Aaron J. DeSalvioiD· 1 shared Abhishek GognaiD· 1 shared Alencar XavieriD· 1 shared Alper AdakiD· 1 shared Andrei SlabodkiniD· 1 shared Annan J. Timon· 1 shared Argeo Ulrich· 1 shared B Kirtley AmosiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperPlant Biology

Aaron J. DeSalvioORCID

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2 papers

Recent·Most cited

Plant BiologyThe Plant Phenome JournalPeer-reviewedMay 13, 2025

DEEP LEARNING-BASED HIGH-THROUGHPUT PHENOTYPING OF MAIZE (Zea mays L.) TASSELING FROM UAS IMAGERY ACROSS ENVIRONMENTS

Nicholas R. Shepard, Aaron J. DeSalvio, Mustafa Arik…·Natalia de Leon

This paper develops a CNN-based method for high-throughput maize tasseling phenotyping using UAS imagery across multiple environments, achieving high classification accuracy.

7 citations

zebrafishimaging

𝕏 PostBluesky

GeneticsGeneticsPeer-reviewedNov 22, 2024

Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates

Jacob D. Washburn, José Ignacio Varela, Alencar Xavier…·Natalia de León

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

30 citationstop 2%

GWAS summary statisticsmachine learning (classical)

𝕏 PostBluesky