Author

Leo Yermakov

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

Research Focus:clustering· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Anai KthariiD· 1 shared Anjishnu BanerjeeiD· 1 shared Ariel Ann NelsoniD· 1 shared Armand Bankhead· 1 shared Ben GeorgeiD· 1 shared Bhabishya Neupane· 1 shared Bradley W. TayloriD· 1 shared Bruce MontgomeryiD· 1 shared

Activity by Year

2025-2025 · 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

Anai KthariORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Moving Beyond Binary Biomarkers: Machine Learning Model Resolves Concurrent and Molecularly Heterogeneous Mismatch Repair and Homologous Recombination Deficiencies in Prostate Cancer

Komal Sharma, Divin A. Wilson, Yu Wang, Shabi Haider, Vineel Bhatlapenumarthi, Daniel Boiarsky, John M. Cipriaso, Leo Yermakov, Raja Ram Dutta, Manavita Vashisth, Ilsa M. Coleman, Armand Bankhead, Shantanu K. Jadhav, Bhabishya Neupane, Bradley W. Taylor, , Navonil De Sarkar

This paper develops a machine learning model to identify molecularly distinct DDR subgroups in prostate cancer, revealing concurrent repair deficiencies and improving therapeutic stratification.

bioRxiv · Oct 8, 2025 · PreprintGenomics