Author

Artem Shmatko

European Bioinformatics InstituteORCID 0000-0002-2184-0856Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Moritz GerstungiD· 2 shared Adam GayosoiD· 1 shared Alexander Aivazidis· 1 shared Alexander W. JungiD· 1 shared Anna ArutyunyaniD· 1 shared Artem LomakiniD· 1 shared Elizabeth J. TuckiD· 1 shared Emma DanniD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Moritz GerstungORCID

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2 papers

Recent·Most cited

Cell2location maps fine-grained cell types in spatial transcriptomics

Vitalii Kleshchevnikov, Artem Shmatko, Emma Dann, Alexander Aivazidis, Hamish W. King, Tong Li, Rasa Elmentaite, Artem Lomakin, Veronika R. Kedlian, Adam Gayoso, Mika Sarkin Jain, Jun Sung Park, Lauma Ramona, Elizabeth J. Tuck, Anna Arutyunyan, , Omer Ali Bayraktar

cell2location uses a Bayesian model to integrate single-cell and spatial transcriptomics, mapping cell types in situ across mouse brain regions and human lymph node immune compartments.

Nature Biotechnology · Jan 13, 2022Peer-reviewedBioinformatics

Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis

Yu Fu, Alexander W. Jung, Ramón Viñas, Santiago González, Harald S. Vöhringer, Artem Shmatko, Lucy R. Yates, Mercedes Jimenez‐Liñan, Luiza Moore, Moritz Gerstung

This paper uses deep transfer learning on H&E images to correlate histopathological patterns with genomic and survival data across 28 cancer types, revealing associations between histopathology and molecular features.

Nature Cancer · Jul 27, 2020Peer-reviewedBioinformatics