Author

William Torous

University of California, Berkeley

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Elizabeth A. PurdomiD· 2 shared Boying GongiD· 1 shared Hao WangiD· 1 shared Jeffrey ChengiD· 1 shared Raymond Jaihyun ChoiD· 1 shared Zhiwei XiaoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Elizabeth A. PurdomORCID

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2 papers

Recent·Most cited

A statistical framework for disease classification with scRNA-Seq Data

Zhiwei Xiao, William Torous, Jeffrey Cheng, Raymond Jaihyun Cho, 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.

bioRxiv · Aug 25, 2026 · PreprintBioinformatics

Visualizing scRNA-Seq Data at Population Scale with GloScope

Hao Wang, William Torous, Boying Gong, Elizabeth A. Purdom

The paper introduces GloScope, a framework for representing scRNA-Seq data at the sample level to enable visualization and quality control across population-scale studies.

Genome biology · Oct 8, 2024Peer-reviewedBioinformatics