Author

Jyotidip Barman

University of HelsinkiORCID 0009-0008-2885-686XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Caroline Akemi HeckmaniD· 1 shared Markus J. V. Vähä-KoskelaiD· 1 shared Sadiksha AdhikariiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Caroline Akemi HeckmanORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 16, 2026

A Transformer-derived transcriptomic score associates with ex-vivo drug response in AML

Jyotidip Barman, Sadiksha Adhikari, Caroline Akemi Heckman, Markus J. V. Vähä-Koskela

This paper introduces a Transformer-derived transcriptomic score to identify drug-tolerant persister-like states in AML, showing external association with ex-vivo drug response.

DOI 10.64898/2026.06.12.731810

humanscRNA-seq

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