Author

Iva Šunić

Institute for Anthropological ResearchORCID 0000-0002-5289-9463Unclaimed ORCID profile · follow to get notified of new preprints

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 Jessica Ann Lasky-SuiD· 1 shared Kristina ČasniiD· 1 shared Mads Rønnow Staffe· 1 shared Mario LovrićiD· 1 shared Morten Arendt RasmusseniD· 1 shared Tingting WangiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

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

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, Iva Šunić, Kristina Časni, Jessica Ann Lasky-Su, Bo Chawes, 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.

bioRxiv · Nov 15, 2023 · PreprintBioinformatics