Author

Oussama Gabouj

École Polytechnique Fédérale de Lausanne

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:E. coli· 1 Organism:yeast· 1

Frequent Co-Authors

Ilias ToumpeiD· 1 shared Jakob Sebastian Behler· 1 shared Ljubiša MiškovićiD· 1 shared Subham ChoudhuryiD· 1 shared Vassily Hatzimanikatis AiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperSystems Biology

Ilias ToumpeORCID

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1 paper

Recent·Most cited

Generative Approaches to Kinetic Parameter Inference in Metabolic Networks via Latent Space Exploration

Subham Choudhury, Ilias Toumpe, Oussama Gabouj, Jakob Sebastian Behler, Vassily Hatzimanikatis A, Ljubiša Mišković

This paper presents a framework for adapting generative neural networks to build kinetic models for different organisms and physiological contexts by exploring latent space.

Nature Communications · Apr 20, 2026Peer-reviewedSystems Biology