Author

Herman van Vlijmen

Leiden UniversityORCID 0000-0002-1915-3141Unclaimed 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 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Adriaan P. IJzermaniD· 2 shared Brandon J. BongersiD· 2 shared Gerard J. P. van WesteniD· 2 shared Eelke Bart LenselinkiD· 1 shared George PapadatosiD· 1 shared Hugo Gutiérrez‐de‐TerániD· 1 shared K. Ye· 1 shared Laura H. HeitmaniD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Adriaan P. IJzermanORCID

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2 papers

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedDec 13, 2022

Pan-cancer in silico analysis of somatic mutations in G-protein coupled receptors: The effect of evolutionary conservation and natural variance

Brandon J. Bongers, Marina Gorostiola González, X. Wang…·Gerard J. P. van Westen

This study analyzes somatic mutations in GPCRs across cancer patients and healthy individuals, identifying conserved mutation hotspots and prioritizing GPCRs for further cancer research.

18 citations

humanwhole-exome sequencing

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BioinformaticsJournal of CheminformaticsPeer-reviewedAug 14, 2017

Beyond the Hype: Deep Neural Networks Outperform Established Methods Using A ChEMBL Bioactivity Benchmark Set

Eelke Bart Lenselink, Niels ten Dijke, Brandon J. Bongers…·Gerard J. P. van Westen

This study compares machine learning methods on a standardized ChEMBL dataset, finding deep neural networks outperform conventional methods in bioactivity prediction.

334 citationstop 1%

deep learningbenchmarking

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