Author

F. Diblen

Netherlands eScience CenterORCID 0000-0002-0989-929XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:metagenomics· 2 Approach:deep learning· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Florian HuberiD· 2 shared Jurriaan H. SpaaksiD· 2 shared Justin J. J. van der HooftiD· 2 shared Simon RogersiD· 2 shared Stefan VerhoeveniD· 2 shared Adam S. Z. BelloumiD· 1 shared Christiaan MeijeriD· 1 shared Cunliang GengiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Florian HuberORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedFeb 16, 2021

Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships

Florian Huber, Lars Ridder, Stefan Verhoeven…·Justin J. J. van der Hooft

Spec2Vec improves spectral similarity scoring by learning fragmental relationships, showing better correlation with structural similarity than cosine-based scores in metabolomics analyses.

258 citationstop 1%

metagenomicsdeep learning

𝕏 PostBluesky

BioinformaticsThe Journal of Open Source SoftwarePeer-reviewedAug 31, 2020

matchms - processing and similarity evaluation of mass spectrometry data

Florian Huber, Stefan Verhoeven, Christiaan Meijer…·Jurriaan H. Spaaks

The paper introduces matchms, a tool for processing and evaluating similarity in mass spectrometry data, addressing challenges in dataset consistency and metadata quality.

138 citations

metagenomicsbenchmarking

𝕏 PostBluesky