Author

Larissa Della Vedova

Utrecht UniversityORCID 0000-0001-5818-6272Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Justin J. J. van der HooftiD· 2 shared Adam J. BindasiD· 1 shared Aline Marie FernandesiD· 1 shared Celia R. BerkersiD· 1 shared David Giron-VillalobosiD· 1 shared Esteban Charria‐GiróniD· 1 shared Jeroen W. A. JanseniD· 1 shared Jerry Mark WellsiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersMicrobiology

Justin J. J. van der HooftORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintAug 30, 2026

Metabolite co-variation networks reveal keystone functions and an emergent pathogen state in the human urobiome.

Larissa Della Vedova, Adam J. Bindas, Mariana Teixeira Dias…·Justin J. J. van der Hooft

This paper uses metabolomics co-variation networks to analyze urobiome-pathogen interactions, identifying keystone species and emergent pathogen states in a synthetic urobiome model.

DOI 10.64898/2026.08.29.748013

humanmetabolomics

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BiochemistrybioRxivPreprintJul 30, 2026

Quantifying per-match Reliability in Library Matching for Untargeted Metabolomics Workflows

Esteban Charria‐Girón, Jorick van IJcken, Larissa Della Vedova…·Justin J. J. van der Hooft

This paper introduces a method to assess the reliability of metabolite annotations in untargeted metabolomics by evaluating match reproducibility under spectral perturbation.

DOI 10.64898/2026.07.30.741704

metabolomicsstatistical model

𝕏 PostBluesky