Author

Min Cheol Kim

University of California, San FranciscoPrimary ORCID profile (0000-0002-2234-8070 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Min Cheol KimiD1 paper · University of California, San Francisco

Biology Disciplines

Click to filter author papers

Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Assay:CRISPR screen· 1 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Alexander MarsoniD· 3 shared Chun YeiD· 3 shared Andrew C. LuiD· 2 shared David S. LeeiD· 2 shared Eric ShifrutiD· 2 shared Rachel E. Gate· 2 shared Byungjin HwangiD· 1 shared Erin D. GordoniD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 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

3 shared papersGenomics

Alexander MarsonORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A genome-wide CRISPR activation map of surface protein expression in human CD4 T cells

Yutong V Wang, Junha Park, Min Cheol Kim, Thomas Mazumder, Krishna Sonpal, Matin Bikaran, Zachary Steinhart, Ralf L. J. Schmidt, Yang Sun, Su-Hyeon Lee, Alexander Marson, Chun Ye, Byungjin Hwang

This paper introduces SCITO-Perturb-seq, a CRISPRa platform that maps surface protein regulation in CD4 T cells, finding 16% of activated genes alter surface protein expression.

bioRxiv · Aug 11, 2026 · PreprintGenomics

memento: Generalized differential expression analysis of single-cell RNA-seq with method of moments estimation and efficient resampling

Min Cheol Kim, Rachel E. Gate, David S. Lee, Andrew C. Lu, Erin D. Gordon, Eric Shifrut, Alexander Marson, Vasilis Ntranos, Chun Ye

The paper introduces memento, a method for differential expression analysis of scRNA-seq data, and shows it identifies significant differences in mean, variability, and gene correlation across experimental conditions.

bioRxiv · Nov 9, 2022 · PreprintBioinformatics

Mapping gene regulatory networks of primary CD4+ T cells using single-cell genomics and genome engineering

Rachel E. Gate, Min Cheol Kim, Andrew C. Lu, David S. Lee, Eric Shifrut, Meena Subramaniam, Alexander Marson, Chun Ye

The paper uses CRISPR perturbations and single-cell transcriptomics to identify gene regulators and interactions in CD4+ T cells, revealing 134 regulators and 194 regulator pairs.

bioRxiv · Jun 21, 2019 · PreprintGenomics