Author

C. Carley

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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Organism:plant (other)· 2 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:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. K. Singh· 2 shared A. Singh· 1 shared B. Ganapathysubramanian· 1 shared M. Zubrod· 1 shared S. Dutta· 1 shared S. Sarkar· 1 shared T. Z. Jubery· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersPlant Biology

A. K. Singh

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2 papers

Recent·Most cited

Using Machine Learning Enabled Phenotyping To Characterize Nodulation In Three Early Vegetative Stages In Soybean

C. Carley, M. Zubrod, S. Dutta, A. K. Singh

The paper uses machine learning to analyze nodulation patterns in soybean across three growth stages, finding genotypic differences in nodule count, size, and total area, with a strong correlation between early taproot nodules and seed nitrogen content.

bioRxiv · Sep 28, 2022Plant Biology

Using Machine Learning To Develop A Fully Automated Soybean Nodule Acquisition Pipeline (SNAP)

T. Z. Jubery, C. Carley, S. Sarkar, A. Singh, B. Ganapathysubramanian, A. K. Singh

The paper introduces SNAP, a deep learning pipeline for automated soybean nodule quantification with 99% accuracy, enabling efficient analysis of nodule traits and genetic-environmental interactions.

bioRxiv · Oct 12, 2020Plant Biology