Author

Ximena Garcia Arceo

University of California, San FranciscoORCID 0000-0001-9182-4870Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:differential expression· 1 Assay:electrophysiology· 1 Organism:human· 1 Organism:mouse· 1 Organism:non-human primate· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Akira Bowler· 1 shared Aline Moran· 1 shared Aya Alkabbani· 1 shared Binyamin ZuckermaniD· 1 shared Elvira Magana· 1 shared Frank Wu· 1 shared Giuliana CaliaiD· 1 shared Gurleen Kaur· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCell Biology

Akira Bowler

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Single-cell learning in Stentor coeruleus is governed by a fractional-order low-pass filter

Salvador Escobedo, Aline Moran, Frank Wu, Elvira Magana, Akira Bowler, Karina Rodriguez, Gurleen Kaur, Julianna Mululu, Katlyn Benton, Aya Alkabbani, Ximena Garcia Arceo, Wallace F. Marshall

This study analyzes habituation in Stentor coeruleus using frequency domain methods and finds a fractional-order low-pass filter behavior not explained by existing models.

bioRxiv · Jun 10, 2026 · PreprintCell Biology

Quantitative comparison of single-cell RNA sequencing versus single-molecule RNA imaging for quantifying transcriptional noise

Neha Khetan, Binyamin Zuckerman, Giuliana Calia, Xinyue Chen, Ximena Garcia Arceo, Leor S. Weinberger

This paper compares scRNA-seq and smFISH for quantifying transcriptional noise, finding that scRNA-seq algorithms generally underestimate noise compared to smFISH.

bioRxiv · Aug 9, 2024 · PreprintSystems Biology