Author

Ria Sai

University of Pittsburgh

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

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Adrian V. LeeiD· 1 shared Alexander Chih-Chieh ChangiD· 1 shared Brent Thomas SchlegeliD· 1 shared Daniel D. BrowniD· 1 shared Danyang LiiD· 1 shared Fangyuan CheniD· 1 shared George C. TsengiD· 1 shared Haoyu ChengiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Adrian V. LeeORCID

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1 paper

Recent·Most cited

Benchmarking scRNA-seq Copy Number Inference: A Comprehensive Evaluation and Practitioner Guide

Hung-Ching Chang, Yuxin Shi, Haoyu Cheng, Jian Zou, Alexander Chih-Chieh Chang, Brent Thomas Schlegel, Wenjia Wang, Daniel D. Brown, Fangyuan Chen, Sarah Wang, Danyang Li, Ria Sai, Noelle Michel, Steffi Oesterreich, Adrian V. Lee, George C. Tseng

This study benchmarks 12 scRNA-seq CNV inference methods across 28 datasets, finding allele-aware tools perform better with high-quality allelic data, while expression-centric tools are reliable with raw data.

bioRxiv · Apr 15, 2026 · PreprintCancer Biology