Author

Vladimir Despotović

Luxembourg Institute of HealthORCID 0000-0002-8950-4111Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:multiome· 1

Frequent Co-Authors

Ales JanderaiD· 1 shared Annette KuehniD· 1 shared Erica T. GrantiD· 1 shared Hosein NasrolahpouriD· 1 shared Mahesh S. DesaiiD· 1 shared Matteo A. PellegriniiD· 1 shared Oliver E. HunewaldiD· 1 shared Petr V. NazaroviD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetics

Ales JanderaORCID

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2 papers

Recent·Most cited

Language models annotate mass cytometry clusters within the range where human experts disagree

Oliver E. Hunewald, Erica T. Grant, Theresa-Maria Boehm, Annette Kuehn, Vladimir Despotović, Mahesh S. Desai, Petr V. Nazarov

This paper uses large language models to annotate mass cytometry clusters, achieving high concordance with expert annotations and outperforming baselines.

bioRxiv · Oct 24, 2026 · PreprintBioinformatics

Physics-Informed Modeling of Biological Aging through DNA Methylation Entropy

Hosein Nasrolahpour, Ales Jandera, Tomáš Škovránek, Vladimir Despotović, Matteo A. Pellegrini

This paper introduces a physics-informed epigenetic clock using DNA methylation entropy and machine learning, achieving high accuracy in age prediction and associating age acceleration with clinical conditions.

bioRxiv · Aug 20, 2026 · PreprintGenetics