Author

Yu Liao

Guangzhou UniversityORCID 0009-0004-0774-2741Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yu Liao1 paper · Soochow University

Biology Disciplines

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Biophysics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Feng JiaoiD· 2 shared Chengkai Yang· 1 shared Guozhi JiangiD· 1 shared Hongkun Zhang· 1 shared Jiandong Wang· 1 shared Jianshe Yu· 1 shared Kunwen WeniD· 1 shared Liang CheniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMolecular Biology

Feng JiaoORCID

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2 papers

Recent·Most cited

Using the simple telegraph model to decipher transcriptional burst regulation across genome-wide data

Liang Chen, Yuwen Wu, Chengkai Yang, Sijia Fang, Yu Liao, Yueheng Wu, Hongkun Zhang, Guozhi Jiang, Jianshe Yu, Feng Jiao

The paper uses a simplified telegraph model to analyze transcriptional burst regulation in scRNA-seq and smFISH data, revealing key regulatory patterns in mouse and human tissues.

iScience · Aug 21, 2026Peer-reviewedMolecular Biology

A moments-based approach for inferring mechanisms of transcriptional regulation using nascent RNA data

Kunwen Wen, Yu Liao, Jiandong Wang, Sandeep Choubey, Feng Jiao

This paper introduces a moments-based framework to infer transcriptional kinetics from nascent RNA data, showing improved accuracy in model selection and distinguishing promoter activation mechanisms.

Biophysical Journal · Jan 21, 2026Peer-reviewedBiophysics