Author

Balázs Erdõs

Simula Metropolitan Center for Digital EngineeringORCID 0000-0001-8643-4915Unclaimed 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 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Age K. SmildeiD· 1 shared Christos ChatzisiD· 1 shared Evrim AcariD· 1 shared Jakob StokholmiD· 1 shared Jonathan ThorseniD· 1 shared Max de RooijiD· 1 shared Morten Arendt RasmusseniD· 1 shared Natal A. W. van RieliD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Age K. SmildeORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedJul 6, 2026

Extracting host-specific developmental signatures from longitudinal microbiome data

Balázs Erdõs, Christos Chatzis, Jonathan Thorsen…·Evrim Acar

The paper introduces PARAFAC2 to model subject-specific temporal patterns in longitudinal microbiome data, outperforming CP in capturing individual variations and enabling replicable pattern discovery.

1 citation

metagenomicsstatistical model

𝕏 PostBluesky

Systems BiologybioRxivPreprintMay 28, 2024

Physiology-informed regularization enables training of universal differential equation systems for biological applications

Max de Rooij, Balázs Erdõs, Natal A. W. van Riel, Shauna D. O’Donovan

This paper introduces physiology-informed regularization for universal differential equation models to improve accuracy and reduce data requirements in biological applications.

DOI 10.1101/2024.05.28.596164

humanstatistical model

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