Author

Vignesh Sridhar

Michigan State University

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

Organism:bacteria (other)· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Abhirupa GhoshiD· 1 shared Charmie K. VangiD· 1 shared Emily A BoyeriD· 1 shared Ethan P WolfeiD· 1 shared Evan Pierce BrenneriD· 1 shared J. BilodeauxiD· 1 shared Jacob D KroliD· 1 shared Janani RaviiD· 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 paperBioinformatics

Abhirupa GhoshORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

From sequence to signature: Machine learning uncovers multiscale feature landscapes that predict AMR across ESKAPE pathogens

Abhirupa Ghosh, Evan Pierce Brenner, Charmie K. Vang, Ethan P Wolfe, Emily A Boyer, Raymond L Lesiyon, Keenan Manpearl, Vignesh Sridhar, Joseph T Burke, Jacob D Krol, J. Bilodeaux, Janani Ravi

This paper uses machine learning to predict antimicrobial resistance (AMR) across ESKAPE pathogens by analyzing genomic data and identifying molecular features associated with drug resistance.

bioRxiv · Jul 3, 2025 · PreprintBioinformatics