Author

Eliška Greplová

Delft University of TechnologyORCID 0000-0003-3369-2544Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Anouk M. HeuvelmansiD· 1 shared Dimphna H. MeijeriD· 1 shared Geeske M. van WoerdeniD· 1 shared Valentina Gualtieri· 1 shared Vinicius HernandesiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Anouk M. HeuvelmansORCID

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1 paper

Recent·Most cited

NeuroscienceFrontiers in NeurosciencePeer-reviewedDec 5, 2024

autoMEA: Machine learning-based burst detection for multi-electrode array datasets

Vinicius Hernandes, Anouk M. Heuvelmans, Valentina Gualtieri…·Eliška Greplová

autoMEA is a machine learning tool for automated burst detection in multi-electrode array data, showing accuracy comparable to manual analysis in detecting network dynamics.

6 citations

mouseelectronic health records

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