Author

E. McCoy

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:multiple species· 1

Frequent Co-Authors

A. Ai-Perreira· 1 shared A. B. Rajurkar· 1 shared A. J. Lorenz· 1 shared A. Talgo· 1 shared B. G. Tamang· 1 shared C. D. Copeland· 1 shared C. Georgousakis· 1 shared D. Monnens· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPlant Biology

A. Ai-Perreira

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Author profile →

2 papers

Recent·Most cited

High-throughput phenotyping of soybean transpiration response curves to rising atmospheric drying in a mapping population

D. Monnens, J. R. Lopez, E. McCoy, B. G. Tamang, A. J. Lorenz, W. Sadok

This study identifies genetic loci associated with soybean transpiration response to increasing vapor pressure deficit using a mapping population.

bioRxiv · May 16, 2024 · PreprintPlant Biology

Fast and efficient root phenotyping via pose estimation

E. M. Berrigan, L. Wang, H. Carrillo, K. Echegoyen, M. Kappes, J. Torres, A. Ai-Perreira, E. McCoy, E. Shane, C. D. Copeland, L. Ragel, C. Georgousakis, S. Lee, D. Reynolds, A. Talgo, , T. D. Pereira

This paper introduces a segmentation-free root phenotyping method using pose estimation, showing high accuracy and efficiency compared to segmentation-based approaches.

bioRxiv · Nov 20, 2023Plant Biology