Author

Chen‐Yu Zhang

Chinese Academy of Medical Sciences & Peking Union Medical CollegeORCID 0000-0002-7329-7162Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexander EthelliD· 1 shared Angus Y. Lee· 1 shared Bryan ChimiD· 1 shared David H. RauletiD· 1 shared Djem U. KissioviD· 1 shared Ishan ParanjpeiD· 1 shared Jie YangiD· 1 shared Jin Wang· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMolecular Biology

Alexander EthellORCID

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2 papers

Recent·Most cited

Experimental Time Points Guided Transcriptomic Velocity Inference

Xinyuan Zang, Xin Shu, Zhang Nz, Yu Wu, Mingyue Deng, Xiaolong Zhou, Jie Yang, Chen‐Yu Zhang, Xiaoyong Wang, Zhen Zhou, Jin Wang

CellDyc improves transcriptomic velocity inference by integrating experimental time points, enhancing trajectory reconstruction in development, disease, and reprogramming.

bioRxiv · Feb 19, 2026 · PreprintBioinformatics

Binary outcomes of enhancer activity underlie stable random monoallelic expression

Djem U. Kissiov, Alexander Ethell, Sean Chen, Natalie K. Wolf, Chen‐Yu Zhang, Susanna M. Dang, Yeara Jo, Katrine N. Madsen, Ishan Paranjpe, Angus Y. Lee, Bryan Chim, Stefan Adi Muljo, David H. Raulet

The paper investigates enhancer activity's role in random monoallelic expression (RME) of NK cell receptor genes, finding that enhancer properties drive RME and suggest it is a general phenomenon.

eLife · Mar 22, 2022Peer-reviewedMolecular Biology