Author

Rupali P Patwardhan

University of Washington

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

Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:ATAC-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Organism:multiple species· 1

Frequent Co-Authors

Beth K. Martin· 1 shared Camiel C. A. MannensiD· 1 shared Chengxiang QiuiD· 1 shared Cole TrapnelliD· 1 shared Diana R. O’DayiD· 1 shared Ian C. WelshiD· 1 shared Jay ShendureiD· 1 shared Jean‐Benoît LalanneiD· 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 paperGenomics

Beth K. Martin

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Evolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapes

Chengxiang Qiu, Riza M. Daza, Ian C. Welsh, Rupali P Patwardhan, Beth K. Martin, Tony W. Li, Shizhao Yang, Camiel C. A. Mannens, Seppe De Winter, Niklas Kempynck, Megan L. Taylor, Olivia Fulton, Truc-Mai Le, Diana R. O’Day, Jean‐Benoît Lalanne, , Jay Shendure

The paper develops STEAM, an evolution-augmented deep learning model, to predict mammalian enhancer landscapes across species using comparative genomics and single-cell data.

bioRxiv · May 27, 2026 · PreprintGenomics