Author

Dimphna H. Meijer

Delft University of TechnologyORCID 0000-0002-2010-8751Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 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 Cátia P. FriasiD· 1 shared Christos GogouiD· 1 shared David M. WoodiD· 1 shared Davide ComolettiiD· 1 shared Eliška GreplováiD· 1 shared Eric G. HansseniD· 1 shared Florian De Pol· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperNeuroscience

Anouk M. HeuvelmansORCID

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3 papers

Recent·Most cited

The trimeric structures of the extracellular domains of FAM171A1 and FAM171A2 neuronal proteins belong to a novel structural superfamily

Thomas W. Bird, Sepideh Valimehr, David M. Wood, Zachary D. Tillett, Leanid Kresik, Gerd Mittelstädt, Florian De Pol, Dimphna H. Meijer, Renwick C. J. Dobson, Joris de Wit, Eric G. Hanssen, Davide Comoletti

This study determines the trimeric structures of FAM171A1 and FAM171A2 extracellular domains, revealing a novel structural superfamily and their oligomerization properties.

bioRxiv · Sep 18, 2025 · PreprintNeuroscience

A teneurin-3 microphthalmia mutation disrupts trans adhesion for specific alternative splicing isoforms

Christos Gogou, Stefan Loonen, Maja Napieraj, Cátia P. Frias, Nikolina Šoštarić, Dimphna H. Meijer

The paper shows that a mutation in teneurin-3 disrupts trans adhesion specifically in splice isoforms containing insert A, contributing to microphthalmia.

bioRxiv · Feb 28, 2025 · PreprintMolecular Biology

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