Author

Yun Zhang

Chinese Academy of Medical Sciences & Peking Union Medical CollegeORCID 0000-0002-9448-6202Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yun Zhang11 papers · J. Craig Venter Institute

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:trajectory inference· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:mouse· 1

Frequent Co-Authors

Franziska Michor AiD· 2 shared Herbert LevineiD· 2 shared Shubham TripathiiD· 2 shared Thomas O. McDonaldiD· 2 shared Yu-Chen ChengiD· 2 shared BV Harshavardhan· 1 shared Cristina GuarducciiD· 1 shared Daniel L. AbravaneliD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Franziska Michor AORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

PROFET Predicts Continuous Gene Expression Dynamics from scRNA-seq Data to Elucidate Heterogeneity of Cancer Treatment Responses

Yu-Chen Cheng, Hyemin Gu, Thomas O. McDonald, Wenbo Wu, Shubham Tripathi, Cristina Guarducci, Douglas Russo, Daniel L. Abravanel, Madeline Bailey, Yue Wang, Yun Zhang, Yannis Pantazis, Herbert Levine, Rinath M. Jeselsohn, Markos A. Katsoulakis, Franziska Michor A

Cell Systems · Aug 1, 2026Peer-reviewedBioinformatics

Reconstruction of single cell lineage trajectories and identification of diversity in fates during the epithelial-to-mesenchymal transition

Yu-Chen Cheng, Yun Zhang, Shubham Tripathi, BV Harshavardhan, Mohit Kumar Jolly, Geoffrey R. Schiebinger, Herbert Levine, Thomas O. McDonald, Franziska Michor A

This study uses optimal transport analysis on scRNA-seq data to reconstruct EMT trajectories in MCF10A cells, identifying three distinct fates and novel genes associated with different EMT states.

bioRxiv · Sep 19, 2023 · PreprintSystems Biology