Author

Zachary V. Thomas

University of Southern California

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Bowen WangiD· 2 shared Rong LuiD· 2 shared Wade R. BoohariD· 2 shared Anna NogalskaiD· 1 shared D. Judy ShoniD· 1 shared Jiya EerdengiD· 1 shared Mary Vergel-Rodriguez· 1 shared Michael B. ElowitziD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Bowen WangORCID

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2 papers

Recent·Most cited

QuantCell: machine learning based cell annotation integrating qualitative and quantitative imaging profiles

Wade R. Boohar, Bowen Wang, Zachary V. Thomas, Anna Nogalska, Rong Lu

QuantCell improves cell annotation in spatial imaging by integrating quantitative and qualitative data, achieving high accuracy and detecting rare cell types.

bioRxiv · Mar 6, 2026 · PreprintBioinformatics

Cellular and molecular networks of intercellular signaling in bone marrow hematopoiesis

Zachary V. Thomas, Bowen Wang, Wade R. Boohar, Mary Vergel-Rodriguez, Jiya Eerdeng, D. Judy Shon, Michael B. Elowitz, Rong Lu

The paper develops CellSIP to analyze cell-cell signaling in hematopoiesis, identifies feedback mechanisms and pathway correlations, and provides a resource for exploring intercellular signaling.

bioRxiv · Aug 25, 2024 · PreprintBioinformatics