Author

Debottam Upadhyaya

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

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ayan Sengupta· 1 shared Daron M. StandleyiD· 1 shared Florian Hauer· 1 shared Mara Anaís Llamas-CovarrubiasiD· 1 shared Natnicha JiravejchakuliD· 1 shared Soichiro Haruna· 1 shared Songling LiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Ayan Sengupta

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1 paper

Recent·Most cited

Accurate and scalable multi-disease classification from adaptive immune repertoires

Natnicha Jiravejchakul, Ayan Sengupta, Songling Li, Debottam Upadhyaya, Mara Anaís Llamas-Covarrubias, Florian Hauer, Soichiro Haruna, Daron M. Standley

This paper introduces FACTS, a scalable machine learning framework for multi-disease classification using TCR repertoires, achieving high accuracy and preserving biological signals.

bioRxiv · Aug 12, 2025 · PreprintBioinformatics