Author

Milan van Hoek

KeyGene (Netherlands)ORCID 0009-0008-2157-8449Unclaimed 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· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Aalt D. J. van DijkiD· 1 shared Ben NoordijkiD· 1 shared Dick de RidderiD· 1 shared Kirsten ten TusscheriD· 1 shared Marcel J. T. ReindersiD· 1 shared Monica L. García‐GómeziD· 1 shared Thijs van Loo· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aalt D. J. van DijkORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 21, 2026

When do hybrid models help? Combining mechanistic modelling and machine learning to predict gene regulatory network dynamics

Ben Noordijk, Thijs van Loo, Milan van Hoek…·Dick de Ridder

This study investigates when combining mechanistic and machine learning models improves predictions of gene regulatory network dynamics using synthetic data.

DOI 10.64898/2026.10.20.758482

bulk RNA-seqstatistical model

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