Author

Madhav Subramaniyam

Rutgers, The State University of New Jersey

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 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:CRISPR screen· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Márió Szegedy· 2 shared Yash SharmaiD· 2 shared Bernhard DumouliniD· 1 shared Chenyu LiiD· 1 shared David Render· 1 shared Dylan Jay· 1 shared Elias Mark Ziyadeh· 1 shared Eunji HaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Márió Szegedy

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2 papers

Recent·Most cited

Averaging in gene perturbation benchmarks hides perturbation-strength variation: Consequences for model evaluation

Yash Sharma, Madhav Subramaniyam, Pio Passariello, Dylan Jay, David Render, Márió Szegedy

The paper evaluates how averaging perturbation responses in gene perturbation benchmarks affects the ability to assess perturbation-strength variation, finding that current models fail to reliably recover perturbation identity.

bioRxiv · Oct 23, 2026 · PreprintBioinformatics

Nephrobase Cell+: Multimodal Single-Cell Foundation Model for Decoding Kidney Biology

Chenyu Li, Elias Mark Ziyadeh, Yash Sharma, Bernhard Dumoulin, Jonathan L. Levinsohn, Eunji Ha, Siyu Pan, Vishwanatha Rao, Madhav Subramaniyam, Márió Szegedy, Nancy Ruonan Zhang, Katalin Suszták

Nephrobase Cell+ is a kidney-specific foundation model that outperforms existing models in single-cell analysis, cross-species transfer, and batch effect correction.

bioRxiv · Sep 30, 2025 · PreprintGenetics