Author

Ryan Michael Baxter

University of Colorado AnschutzORCID 0000-0002-2235-6193Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:CITE-seq· 1 Organism:human· 1 Assay:multiome· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Debashis GhoshiD· 2 shared Elena W.Y. HsiehiD· 2 shared Pratyaydipta RudraiD· 2 shared Souvik SealiD· 1 shared Thao VuiD· 1 shared Tusharkanti GhoshiD· 1 shared Victor G LuiiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Debashis GhoshORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJul 1, 2025

cytoKernel: Robust kernel embeddings for assessing differential expression of single cell data

Tusharkanti Ghosh, Ryan Michael Baxter, Souvik Seal…·Debashis Ghosh

cytoKernel assesses differential expression in single-cell data by using kernel embeddings to detect both aggregate and subtle variations, outperforming existing methods.

3 citations

scRNA-seqCITE-seq

𝕏 PostBluesky

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2022

Compositional Data Analysis using Kernels in Mass Cytometry Data

Pratyaydipta Rudra, Ryan Michael Baxter, Elena W.Y. Hsieh, Debashis Ghosh

The paper introduces CODAK, a method for analyzing compositional mass cytometry data to test associations with predictors, showing good performance on small samples and applied to SLE data.

4 citations

humanmultiome

𝕏 PostBluesky