Author

Aiko P. J. de Vries

Leiden University Medical CenterORCID 0000-0002-9284-3595Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:metabolomics· 1 Assay:metagenomics· 1

Frequent Co-Authors

Jesper KersiD· 2 shared Alexis VariniD· 1 shared Baptiste LamarthéeiD· 1 shared Hailiang MeiiD· 1 shared Hans Dalebout· 1 shared Hans J. BaeldeiD· 1 shared Manfred WuhreriD· 1 shared Marij J.P. WeltersiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Jesper KersORCID

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Author profile →

2 papers

Recent·Most cited

CPMsi: a data-driven Computational Pipeline for fast, large-scale Mass Spectrometry Imaging analysis

Paola Tasca, И. В. Сидоров, Hans Dalebout, Nina Ogrinc, Ron M. A. Heeren, Aiko P. J. de Vries, Jesper Kers, Manfred Wuhrer, Ton J. Rabelink, Martin A. Giera, Yassene Mohammed

CPMsi is a computational pipeline that efficiently processes and integrates large-scale MSI data, enabling faster analysis and discovery of molecular patterns across tissue sections.

bioRxiv · Oct 21, 2026 · PreprintBioinformatics

Rapid liquid biopsy assessment through gene profiling from the kidney biopsy transport medium: a technical validation and a proof-of-concept pilot study

Ziyang Li, Marij J.P. Welters, Hailiang Mei, Alexis Varin, Baptiste Lamarthée, Aiko P. J. de Vries, Hans J. Baelde, Jesper Kers

This study validates the use of kidney biopsy transport medium for rapid gene profiling to enable same-day molecular diagnosis of kidney disease.

American Journal of Transplantation · Jan 27, 2026Peer-reviewedPathology