Author

Anouk M. Heuvelmans

Erasmus MCORCID 0009-0002-5883-9944Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Geeske M. van WoerdeniD· 2 shared Dimphna H. MeijeriD· 1 shared Eliška GreplováiD· 1 shared Eveline Nel· 1 shared Jeffrey D. de Hoogen· 1 shared Martina Proietti OnoriiD· 1 shared Monica FregaiD· 1 shared Valentina Gualtieri· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersNeuroscience

Geeske M. van WoerdenORCID

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2 papers

Recent·Most cited

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

Vinicius Hernandes, Anouk M. Heuvelmans, Valentina Gualtieri, Dimphna H. Meijer, Geeske M. van Woerden, 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.

Frontiers in Neuroscience · Dec 5, 2024Peer-reviewedNeuroscience

Modeling mTORopathy-related epilepsy in cultured murine hippocampal neurons using the multi-electrode array

Anouk M. Heuvelmans, Martina Proietti Onori, Monica Frega, Jeffrey D. de Hoogen, Eveline Nel, Ype Elgersma, Geeske M. van Woerden

This study models mTORopathy-related epilepsy in cultured murine hippocampal neurons using a multi-electrode array to identify network activity phenotypes and test drug treatments.

Experimental Neurology · Jun 22, 2024Peer-reviewedNeuroscience