Author

Anis Mansouri

University of Bologna

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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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Organism:yeast· 1

Frequent Co-Authors

Daniel RemondiniiD· 2 shared Amparo QueroliD· 1 shared Diego Troitiño-JordedoiD· 1 shared Dominique SwenneniD· 1 shared Eva Balsa-CantoiD· 1 shared Francesco DurazziiD· 1 shared Rina MekuliiD· 1 shared Romain MineboisiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Daniel RemondiniORCID

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Author profile →

2 papers

Recent·Most cited

Estimation of metabolite levels in cheese from microbial gene expression

Anis Mansouri, Rina Mekuli, Dominique Swennen, Francesco Durazzi, Daniel Remondini

The paper estimates volatile metabolite levels in cheese using metatranscriptomic data and machine learning to link gene expression to biochemical pathways.

bioRxiv · Apr 7, 2026 · PreprintBioinformatics

GeNETop: Context-Specific Genome-Scale Constrained Models Using Network Topology, Flux Variability, and Transcriptomics

Diego Troitiño-Jordedo, Anis Mansouri, Romain Minebois, Amparo Querol, Daniel Remondini, Eva Balsa-Canto

GeNETop improves context-specific metabolic models by integrating flux variability, network topology, and transcriptomics to enable dynamic simulations.

bioRxiv · Mar 18, 2026 · PreprintSystems Biology