Author

Mustafa A. Arik

Texas A&M University

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Organism:chicken / avian· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron J. DeSalvioiD· 1 shared Addie ThompsoniD· 1 shared Alper AdakiD· 1 shared Candice N. HirschiD· 1 shared David M. StellyiD· 1 shared Dayane Cristina LimaiD· 1 shared Jode W. EdwardsiD· 1 shared Marcos MatabuenaiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

Aaron J. DeSalvioORCID

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1 paper

Recent·Most cited

Distributional Data Analysis Uncovers Hundreds of Novel and Heritable Phenomic Features from Temporal Cotton and Maize Drone Imagery

Aaron J. DeSalvio, Marcos Matabuena, Alper Adak, Mustafa A. Arik, Serina M. DeSalvio, Seth C. Murray, Raymond K. W. Wong, Jode W. Edwards, Natalia de León, Shawn M. Kaeppler, Dayane Cristina Lima, Candice N. Hirsch, Addie Thompson, David M. Stelly

This paper introduces distributional data analysis to plant phenomics, showing it captures novel heritable features in cotton and maize imagery that improve yield prediction and explain genetic variation.

bioRxiv · Sep 5, 2025 · PreprintPlant Biology