Author

Nianzhen Li

Arc Research Institute

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· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:perturbation response prediction· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Dave P. Burke· 2 shared Po‐Yuan Tung· 2 shared Yusuf RoohaniiD· 2 shared Abhinav AdduriiD· 1 shared Aidan F. WintersiD· 1 shared Alex Dobin· 1 shared Alexander DobiniD· 1 shared Alexander MarsoniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Dave P. Burke

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2 papers

Recent·Most cited

Stack: In-Context Learning of Single-Cell Biology

Mingze Dong, Abhinav Adduri, Dhruv Gautam, Lujing Wu, Courtney Kernick, Mary Margaret Coons, Yi-Chen Chih, Christopher Carpenter, Rohan M. Shah, Chiara Ricci-Tam, Po‐Yuan Tung, Nianzhen Li, Alexander Dobin, Yuval Kluger, Dave P. Burke, , Yusuf Roohani

SO_SCPLOWTACKC_SCPLOW is a foundation model trained on human single-cell data that enables in-context learning for predicting perturbation effects without fine-tuning.

bioRxiv · Jun 8, 2026 · PreprintBioinformatics

Scalable probe-based single-cell transcriptional profiling for virtual cell perturbation mapping and synthetic biology phenotyping

Jason T. Swinderman, Po‐Yuan Tung, Aidan F. Winters, Laine Goudy, Caroline M. Wilson, Lexi R. Bounds, Noam Teyssier, Ayush Agrawal, Alex Dobin, Tony Hua, Hani Goodarzi, Felix Yi-Chung Feng, Alexander Marson, Dave P. Burke, Patrick D. Hsu, , Luke A. Gilbert

ProPer-seq is a cost-effective, barcode-free single-cell perturbation profiling method that enables scalable analysis of synthetic biology perturbations and reveals transcriptional control principles.

bioRxiv · Feb 5, 2026 · PreprintSynthetic Biology