Author

Yun-Ching Chen

National Institutes of HealthORCID 0000-0002-5342-083XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Abhilash SureshiD· 1 shared Adam G. SowalskyiD· 1 shared Adrian U. WiestneriD· 1 shared Brian D. BennettiD· 1 shared Chingiz UnderbayeviD· 1 shared Clare SuniD· 1 shared Fayaz SeifuddiniD· 1 shared Gennady Margolin· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 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

1 shared paperBioinformatics

Abhilash SureshORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Discovery and performance of DNA methylation panels for cancer detection and classification in blood

Gennady Margolin, Sara R. Bang-Christensen, Sara A. Grimm, Brian D. Bennett, Peter Kilfeather, Kevin Fedkenheuer, Sabina Pathan, Nichelle C. Whitlock, Peter A. Pinto, Leszek J. Klimczak, S. Katie Farney, Nader Jameel, Yun-Ching Chen, Hanna M. Petrykowska, Adam G. Sowalsky, , Laura L. Elnitski

This paper identifies DNA methylation biomarker panels for multi-cancer detection and tissue-of-origin classification using blood samples, achieving high sensitivity and low false positive rates.

bioRxiv · Sep 16, 2025 · PreprintCancer Biology

IKAP - Identifying K mAjor cell Population groups in single-cell RNA-seq analysis

Yun-Ching Chen, Abhilash Suresh, Chingiz Underbayev, Clare Sun, Komudi Singh, Fayaz Seifuddin, Adrian U. Wiestner, Mehdi Pirooznia

IKAP improves identification of major cell types in single-cell RNA-seq by tuning clustering parameters to enhance differentiation between cell groups.

GigaScience · Oct 1, 2019Peer-reviewedBioinformatics