Author

Axel Theorell

Forschungszentrum JülichORCID 0000-0003-2403-7740Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:E. coli· 1

Frequent Co-Authors

Catia CostaiD· 1 shared Dany J. V. BesteiD· 1 shared Jakob TheorelliD· 1 shared Jane Newcombe· 1 shared Jim Barber· 1 shared Johnjoe McFaddeniD· 1 shared Jörg StellingiD· 1 shared Katharina NöhiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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1 shared paperSystems Biology

Catia CostaORCID

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3 papers

Recent·Most cited

Systems BiologyCell SystemsPeer-reviewedJun 29, 2026

Scalable enumeration and sampling of minimal metabolic pathways for organisms and communities

Ove Øyås, Axel Theorell, Jörg Stelling

The paper introduces minimal metabolic pathways to enable scalable analysis of metabolic subnetworks in organisms and communities.

DOI 10.1016/j.cels.2026.101653

𝕏 PostBluesky

Systems BiologybioRxivPreprintMar 8, 2022

Bayesian multi-model-based 13C15N-metabolic flux analysis quantifies carbon-nitrogen metabolism in mycobacteria

Khushboo Borah, Martin Beyß, Ye Xu…·Katharina Nöh

This study quantifies carbon-nitrogen and nitrogen metabolism in mycobacteria using Bayesian multi-model-based 13C15N metabolic flux analysis, identifying glutamate as a central metabolic node.

2 citations

metabolomicsBayesian inference

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BioinformaticsPLoS ONEPeer-reviewedMar 7, 2019

Determination of essential phenotypic elements of clusters in high-dimensional entities - DEPECHE

Axel Theorell, Yenan T. Bryceson, Jakob Theorell

DEPECHE is a clustering algorithm that improves interpretability of single-cell data by retaining only relevant variables for cluster separation.

23 citations

bulk RNA-seqmultiome

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