Author

Nathaniel Thomas

University of California, Los AngelesPrimary ORCID profile (0000-0001-6291-0518 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Nathaniel ThomasiD2 papers · Rutgers, The State University of New Jersey

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:matrix factorization· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Aaron S. MeyeriD· 2 shared Andrew Ramirez· 2 shared Armaan A. Abraham· 1 shared Breanna Remigio· 1 shared Brian T. Orcutt-JahnsiD· 1 shared D.R. CalabreseiD· 1 shared John R. GreenlandiD· 1 shared Sean Pascoe· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

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2 shared papersSystems Biology

Aaron S. MeyerORCID

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2 papers

Recent·Most cited

Tracing cell communication programs across conditions at single cell resolution with CCC-RISE

Andrew Ramirez, Nathaniel Thomas, D.R. Calabrese, John R. Greenland, Aaron S. Meyer

The paper introduces CCC-RISE, a method to analyze cell-cell communication at single-cell resolution across conditions, identifying disease-relevant signaling programs and subpopulations.

bioRxiv · Apr 15, 2026 · PreprintSystems Biology

Integrative, high-resolution analysis of single cell gene expression across experimental conditions with PARAFAC2-RISE

Andrew Ramirez, Brian T. Orcutt-Jahns, Sean Pascoe, Armaan A. Abraham, Breanna Remigio, Nathaniel Thomas, Aaron S. Meyer

RISE, an adaptation of PARAFAC2, enables dimensionality reduction and analysis of single-cell RNA-seq data across experimental conditions by separating condition-specific effects from cell-to-cell variation.

Cell Systems · May 15, 2025Peer-reviewedSystems Biology