Author

Nikolay Chekanov

AIRI - Artificial Intelligence Research InstituteORCID 0000-0003-1131-3195Unclaimed 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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Assay:ChIP-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:multiple species· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Olga L. KardymoniD· 2 shared Veniamin FishmaniD· 2 shared Aleksei ShmeleviD· 1 shared Alexander LapiniD· 1 shared Denis ShepeliniD· 1 shared Dmitry PenzariD· 1 shared Elian Malkin· 1 shared Manvel AvetisianiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Olga L. KardymonORCID

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2 papers

Recent·Most cited

BioinformaticsNucleic Acids ResearchPeer-reviewedDec 26, 2024

GENA-LM: A Family of Open-Source Foundational DNA Language Models for Long Sequences

Veniamin Fishman, Yuri Kuratov, Aleksei Shmelev…·Mikhail Burtsev

GENA-LM introduces transformer-based DNA language models for long sequences, capable of handling up to 36,000 base pairs and supporting multispecies and taxon-specific applications.

137 citationstop 1%

multiple specieswhole-genome sequencing

𝕏 PostBluesky

GeneticsGigaSciencePeer-reviewedJan 1, 2023

Cell type-specific interpretation of noncoding variants using deep learning-based methods

Maria Sindeeva, Nikolay Chekanov, Manvel Avetisian…·Veniamin Fishman

The paper introduces DeepCT, a deep learning model that predicts cell type-specific effects of noncoding variants by learning from sparse epigenetic data.

4 citations

humanDNA methylation

𝕏 PostBluesky