Author

Liang Wang

GenentechORCID 0000-0001-6140-914XUnclaimed ORCID profile · follow to get notified of new preprints

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Liang Wang14 papers · Chinese Academy of Sciences

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:perturbation response prediction· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Assay:CRISPR screen· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Shiqi XieiD· 3 shared Diana H. WuiD· 2 shared Jenille TaniD· 2 shared Aaron T. L. LuniD· 1 shared Adrian Waddell· 1 shared Alejandro Martinez ChiblyiD· 1 shared Aleksander ChlebowskiiD· 1 shared Amy J. HeidersbachiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersGenomics

Shiqi XieORCID

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3 papers

Recent·Most cited

Joint analysis of multiply perturbed cells improves statistical power and cost efficiency in Perturb-seq

Jake Yeung, Jenille Tan, Liang Wang, Diana Wu, Sandra Melo Carlos, Jorge Kageyama, Jack Kamm, Benjamin B. Chu, Oleg Mayba, William F. Forrest, Shiqi Xie

This paper improves Perturb-seq by analyzing guide multiplets, reducing costs and maintaining signal recovery.

bioRxiv · Jul 11, 2026 · PreprintGenomics

Chemically-inducible CRISPR/Cas9 circuits for ultra-high dynamic range gene perturbation

Rajini Srinivasan, Tao Sun, Azalia Sandles, Diana H. Wu, Liang Wang, Hetal Patel, Ryan Pabalate, Maram Bader, Amy J. Heidersbach, Clark Ho, Shiqi Xie, Andrew H. Ng, Benjamin Haley

This paper develops inducible CRISPR/Cas9 systems with improved dynamic range and reduced off-target effects for precise gene perturbation.

Nature Communications · Dec 12, 2025Peer-reviewedMolecular Biology

Epiregulon: Inference of single-cell transcription factor activity to predict drug response and drivers of cell state

Tomasz Włodarczyk, Aaron T. L. Lun, Diana H. Wu, Minyi Shi, Xiaofen Ye, Shreya Menon, Shushan Toneyan, Kerstin Seidel, Liang Wang, Jenille Tan, Shang-Yang Chen, Timothy Keyes, Aleksander Chlebowski, Adrian Waddell, Wei Zhou, , Xiaosai Yao

Epiregulon infers single-cell TF activity using ATAC-seq and RNA-seq to predict drug response and identify drivers of cell state.

Nature Communications · Aug 2, 2025Peer-reviewedBioinformatics