Author

Shwetank Verma

University of Pennsylvania

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:CITE-seq· 1 Approach:deep learning· 1 Organism:human· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Akira Nair· 1 shared Allison R. GreenplateiD· 1 shared Amy E. BaxteriD· 1 shared Ayman RezkiD· 1 shared Byounghan LeeiD· 1 shared Chang-Uk JeongiD· 1 shared David Smith· 1 shared Dokyoon KimiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

Akira Nair

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Limits of marker information transfer]{Limits of marker information transfer in cross-panel cytometry imputation

Jonghyun Lee, Akira Nair, Chang-Uk Jeong, Matei Ionita, Jaehyun Joo, Matthew Lee, Lina Takemaru, Yonghyun Nam, Jaesik Kim, Byounghan Lee, Michelle L. McKeague, Shwetank Verma, Ayman Rezk, David Smith, Sokratis A. Apostolidis, , Dokyoon Kim

This study evaluates the limits of marker information transfer in cross-panel cytometry imputation, finding that imputation preserves broad lineage classification but not fine-phenotype details, and that patient matching improves cross-platform distribution recovery.

bioRxiv · Oct 14, 2026 · PreprintBioinformatics