Author

Yen‐Chi Chen

University of WashingtonORCID 0000-0002-4485-306XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Amarise LittleiD· 1 shared Katie Marie CampbelliD· 1 shared Kevin LiniD· 1 shared Michael C. WuiD· 1 shared Ni ZhaoiD· 1 shared Sarah SamorodnitskyiD· 1 shared Wodan LingiD· 1 shared Yuhong LiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Amarise LittleORCID

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2 papers

Recent·Most cited

GenomicsBioinformatics AdvancesPeer-reviewedJan 1, 2026

Quantifying stability via count splitting to guide model selection in RNA velocity analyses

Yuhong Li, Zeyu Wei, Yen‐Chi Chen, Kevin Lin

The paper introduces a framework to assess RNA velocity stability using count splitting and replicate coherence, showing performance differences across methods and guiding model selection.

1 citation

mousehuman

𝕏 PostBluesky

BioinformaticsPatternsPeer-reviewedJan 1, 2026

Detecting Clinically Relevant Topological Structures in Multiplexed Spatial Proteomics Imaging Using TopKAT

Sarah Samorodnitsky, Katie Marie Campbell, Amarise Little…·Michael C. Wu

This paper introduces TopKAT, a topology-based method to detect associations between spatial cell structures and clinical outcomes in spatial proteomics data.

2 citationstop 5%

humanspatial transcriptomics

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