Author

Arthur Sherman

National Institutes of HealthORCID 0000-0002-8372-5941Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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 Research Focus:differential expression· 1 Organism:human· 1 Organism:rat· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Boya YangiD· 1 shared Kosara SmiljanićiD· 1 shared Patrick A. FletcheriD· 1 shared Rafael Maso PrévideiD· 1 shared Stanko S. StojilkovićiD· 1 shared Stéphanie ConstantiniD· 1 shared Steven L. CooniD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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1 shared paperSystems Biology

Boya YangORCID

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2 papers

Recent·Most cited

Crafting Mathematical Models for Type 2 Diabetes Progression: Leveraging Longitudinal Data

Boya Yang, Arthur Sherman

The paper develops mathematical models of T2D progression using longitudinal data, improving upon the Topp model by incorporating biological mechanisms and nonlinear mixed-effect modeling.

bioRxiv · Feb 24, 2025 · PreprintSystems Biology

Transcriptomic heterogeneity of Sox2-expressing pituitary cells

Patrick A. Fletcher, Kosara Smiljanić, Rafael Maso Prévide, Stéphanie Constantin, Arthur Sherman, Steven L. Coon, Stanko S. Stojilković

This study uses scRNA-seq to analyze Sox2-expressing cells in rat pituitary, identifying heterogeneity in folliculostellate cells and their potential stem-like properties.

Glia · Sep 12, 2022Peer-reviewedNeuroscience