Author

Yogeshwar Kelkar

Moderna Therapeutics (United States)

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

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Andrea FrassettoiD· 1 shared Anna SimoniD· 1 shared Anthony L. Forget· 1 shared Boris N Reznik· 1 shared Bruno M. GrandeiD· 1 shared Daniel Ziemek· 1 shared Danielle Fuchs· 1 shared Eric Huang· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperPharmacology & Toxicology

Andrea FrassettoORCID

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2 papers

Recent·Most cited

LNP Delivery of Prime Editors Enables Durable Correction of PAH R408W in Phenylketonuria Models

Stephanie Yazinski, Susanna Canali, Yang Xu, Xuling Zhu, James Nelson, Wenguo Gao, Zharko Daniloski, Wendy Leung-Owen, Felicity Winkler, Andrea Frassetto, Anna Simon, Jon N Penterman, Sean F. Maguire, Danielle Fuchs, James Rybarski, , Patrick F. Finn

This paper demonstrates the use of LNP-delivered prime editors to correct the PAH R408W mutation in PKU models, achieving ~50% correction efficiency.

bioRxiv · Oct 14, 2026 · PreprintPharmacology & Toxicology

SUBSTRA: Supervised Bayesian Patient Stratification

Sahand Khakabimamaghani, Yogeshwar Kelkar, Bruno M. Grande, Ryan D. Morin, Martin Ester, Daniel Ziemek

SUBSTRA is a Bayesian method for patient stratification that balances predictive performance and interpretability by using regularized biclustering and iterative feature weighting.

Bioinformatics · Feb 15, 2019Peer-reviewedBioinformatics