Author

Jeffrey Cheng

University of California, Los AngelesORCID 0009-0007-4593-5589Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anna Marie PyleiD· 1 shared Douglas L. BlackiD· 1 shared Elizabeth A. PurdomiD· 1 shared James WohlschlegeliD· 1 shared Raymond Jaihyun ChoiD· 1 shared Tanja HanniD· 1 shared Vijaya PandeyiD· 1 shared Wen XiaoiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMolecular Biology

Anna Marie PyleORCID

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintSep 17, 2026

A B1 SINE element within the mouse Malat1 long noncoding RNA acts as an internal ribosome entry site mediating micropeptide translation

Wen Xiao, Tanja Hann, Zion R. Perry…·Douglas L. Black

1 citation

mouselong-read sequencing

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BioinformaticsbioRxivPreprintAug 25, 2026

A statistical framework for disease classification with scRNA-Seq Data

Zhiwei Xiao, William Torous, Jeffrey Cheng…·Elizabeth A. Purdom

This paper introduces a statistical framework for disease classification using scRNA-seq data, achieving better interpretability and performance compared to existing methods.

DOI 10.64898/2026.08.21.746294

𝕏 PostBluesky