Author

Mohamed Akram Errahmouni

Université Mohammed VI Polytechnique

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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Ecology· 1

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1

Frequent Co-Authors

Mohamed HijriiD· 1 shared Tariq Shah· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperEcology

Mohamed HijriORCID

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1 paper

Recent·Most cited

EcologybioRxivPreprintOct 6, 2026

Machine Learning Identification of Functional Trait Syndromes Associated with Responsiveness to Arbuscular Mycorrhizal Fungi

Tariq Shah, Mohamed Akram Errahmouni, Mohamed Hijri

The paper develops a machine learning framework to predict plant responsiveness to arbuscular mycorrhizal fungi using functional traits and environmental variables, finding that specific leaf and root traits are key predictors.

DOI 10.64898/2026.10.05.756734

plant (other)machine learning (classical)

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