Author

Smaïn Fettem

Université de Lille

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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Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1

Frequent Co-Authors

Amélie BonnefondiD· 1 shared Amna KhamisiD· 1 shared Bart StaelsiD· 1 shared Bénédicte Toussaint· 1 shared Emmanuel Vaillant· 1 shared François N. PattouiD· 1 shared Lijiao NingiD· 1 shared Marwa AfnouchiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMolecular Biology

Amélie BonnefondORCID

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1 paper

Recent·Most cited

Deep learning models reading clinical data and liver omics strongly distinguish NASH from steatosis and suggest new genes involved in liver disease severity

Nicolas Gambardella Le Novère, Smaïn Fettem, Mathilde Boissel, Lijiao Ning, Violeta Raverdy, Marwa Afnouch, Souhila Amanzougarene, Mehdi Derhourhi, Bénédicte Toussaint, Emmanuel Vaillant, Amna Khamis, Philippe Lefèbvre, Bart Staels, François N. Pattou, Philippe Froguel, Amélie Bonnefond

The paper develops a deep learning model combining clinical data, gene expression, and DNA methylation to distinguish NASH from steatosis and identifies new genes involved in liver disease severity.

bioRxiv · Oct 10, 2025 · PreprintMolecular Biology