Author

Elian Malkin

AIRI - Artificial Intelligence Research Institute

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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Bioengineering· 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:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alexander LapiniD· 1 shared Emily Crespin Guerra· 1 shared Emmanuel Vargas Paniagua· 1 shared Florian KoehleriD· 1 shared Jacob L. BeckhamiD· 1 shared Katherine LeiiD· 1 shared Keisuke NagaoiD· 1 shared Manvel AvetisianiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenetics

Alexander LapinORCID

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2 papers

Recent·Most cited

Adeno-associated viruses escort nanomaterials to specific cells and tissues

Keisuke Nagao, Emmanuel Vargas Paniagua, Katherine Lei, Jacob L. Beckham, Peyton Worthington, Marie Manthey, Matthew Ye, Florian Koehler, Ye Ji Kim, Elian Malkin, Michika Onoda, Noah Kent, Shota Michida, Emily Crespin Guerra, Robert J. Macfarlane, Polina Anikeeva

This paper demonstrates that adeno-associated viruses can be coupled to nanoparticles to deliver them specifically to target tissues, with an example of brain-targeting using AAV serotype CAP-B10.

bioRxiv · Apr 4, 2025 · PreprintBioengineering

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

Maria Sindeeva, Nikolay Chekanov, Manvel Avetisian, Tatiana Shashkova, Nikita Baranov, Elian Malkin, Alexander Lapin, Olga L. Kardymon, 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.

GigaScience · Jan 1, 2023Peer-reviewedGenetics