Author

Mikkel Skjoldan Svenningsen

University of CopenhagenORCID 0000-0002-5373-4222Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Assay:proteomics· 1

Frequent Co-Authors

Alicia LundbyiD· 1 shared Julie Lyng FormaniD· 1 shared Namiko MitaraiiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Alicia LundbyORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 24, 2026

A Statistical Guideline for Analyzing Repeated-Measures Proteomics Data

Mikkel Skjoldan Svenningsen, Julie Lyng Forman, Alicia Lundby

This paper evaluates statistical methods for analyzing repeated-measures proteomics data, finding that unstructured covariance models outperform conventional approaches in handling variance heterogeneity and within-subject correlations.

DOI 10.64898/2026.09.18.752572

proteomicsstatistical model

𝕏 PostBluesky

Systems BiologyPhysical Review ResearchPeer-reviewedJul 16, 2024

Simple bacterial growth model for the formation of spontaneous and triggered dormant subpopulations

Mikkel Skjoldan Svenningsen, Namiko Mitarai

The paper introduces a simplified bacterial growth model to simulate the formation of dormant subpopulations under various conditions.

4 citations

bacteria (other)statistical model

𝕏 PostBluesky