Author

Jiahang Li

University of ViennaORCID 0000-0001-9544-5544Unclaimed 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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Organism:human· 2 Assay:metabolomics· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Steffen WaldherriD· 2 shared Wolfram WeckwerthiD· 2 shared Barbara WessneriD· 1 shared Bernhard Franzke· 1 shared Eva-Maria StrasseriD· 1 shared Iro PieridesiD· 1 shared Karl‐Heinz WagneriD· 1 shared Martin Brenner· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersSystems Biology

Steffen WaldherrORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintAug 27, 2024

Machine learning and data-driven inverse modeling of metabolomics unveil key process of active aging

Jiahang Li, Martin Brenner, Iro Pierides…·Wolfram Weckwerth

The paper uses machine learning and COVRECON to identify metabolomics biomarkers and causal processes related to fitness in elderly individuals.

DOI 10.1101/2024.08.27.609825

humanmetabolomics

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BioinformaticsbioRxivPreprintDec 11, 2023

Enzyme fluctuations data improve inference of metabolic interaction networks with an inverse differential Jacobian approach

Jiahang Li, Wolfram Weckwerth, Steffen Waldherr

This paper improves metabolic interaction network inference by incorporating enzyme fluctuation data into an inverse differential Jacobian algorithm, showing better performance in breast cancer datasets.

2 citations

humanmetabolomics

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