Author

Mads Rønnow Staffe

University of Copenhagen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Bo ChawesiD· 1 shared Iva ŠunićiD· 1 shared Jessica Ann Lasky-SuiD· 1 shared Kristina ČasniiD· 1 shared Mario LovrićiD· 1 shared Morten Arendt RasmusseniD· 1 shared Tingting WangiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Bo ChawesORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 15, 2023

A chemical structure and machine learning approach to assess the potential bioactivity of endogenous metabolites and their association with early-childhood hs-CRP levels

Mario Lovrić, Tingting Wang, Mads Rønnow Staffe…·Morten Arendt Rasmussen

The paper uses metabolomics and machine learning to identify metabolites associated with early childhood hs-CRP levels, finding 52 metabolites with potential bioactivity linked to systemic inflammation.

DOI 10.1101/2023.11.15.567095

humanmetabolomics

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