Author

Kyriaki Driva

University of Copenhagen

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Aleksandr IanevskiiD· 1 shared Anil Kumar GiriiD· 1 shared Anna VähärautioiD· 1 shared Caroline Akemi HeckmaniD· 1 shared Daria R. BulanovaiD· 1 shared Esa PitkäneniD· 1 shared Heikki A KuusanmäkiiD· 1 shared Kimmo PorkkaiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aleksandr IanevskiORCID

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Author profile →

1 paper

Recent·Most cited

Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones

Aleksandr Ianevski, Kristen Michelle Nader, Kyriaki Driva, Wojciech Senkowski, Daria R. Bulanova, Lidia Moyano‐Galceran, Tanja M. Ruokoranta, Heikki A Kuusanmäki, Nemo Ikonen, Philipp Sergeev, Markus J. V. Vähä-Koskela, Anil Kumar Giri, Anna Vähärautio, Mika Kontro, Kimmo Porkka, , Tero A. Aittokallio

The paper develops a machine learning model to identify patient-specific multi-targeting therapies using single-cell transcriptomic data for hematological cancers and solid tumors.

Nature Communications · Oct 3, 2024Peer-reviewedBioinformatics