Author

Kun-Lin Ho

Henry M. Jackson FoundationORCID 0000-0002-4298-6002Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Kun-Lin Ho1 paper · University of Georgia

Biology Disciplines

Click to filter author papers

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Amina Ali· 2 shared Gregory Thomas ChesnutiD· 2 shared Leigh EllisiD· 2 shared Sally I. ElsamanoudiiD· 2 shared Albert L. DobiiD· 1 shared Ayesha A. ShafiiD· 1 shared Beatriz GermaniD· 1 shared Brian L. HoodiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 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 papersCancer Biology

Amina Ali

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Spatial epigenomics reveals ancestry-associated regulatory states linked to aggressive prostate cancer biology

Beatriz German, Kun-Lin Ho, Jennifer M. Garbarino, Sadia Sayed, Amina Ali, William Azadze, Tri Truong, Sally I. Elsamanoudi, James McGann, Raunak Shrestha, Colin Ng, Craig. D Shriver, Gregory Thomas Chesnut, Leigh Ellis

The paper identifies population-associated differences in chromatin regulation in prostate cancer, linking reduced CTCF accessibility to aggressive tumor biology in Black men.

bioRxiv · Oct 19, 2026 · PreprintCancer Biology

Integrated proteogenomics uncovers ancestry-specific and shared molecular drivers in localized prostate cancer

Cara C. Schafer, Tamara S. Abulez, Xijun Zhang, Kun-Lin Ho, Jiji Jiang, Denise Young, Jesse Fox, Kelly A. Conrads, Brian L. Hood, Gauthaman Sukumar, Darryl Nousome, Praveen-Kumar Raj-Kumar, Mariano Russo, Ayesha A. Shafi, Xiaofeng A. Su, , Shyh‐Han Tan

This study uses proteogenomics to identify ancestry-specific and shared molecular drivers in prostate cancer, revealing distinct biological programs and improving risk prediction.

bioRxiv · Nov 28, 2025 · PreprintCancer Biology