Author

Salwa Enezari

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Organism:human· 1 Research Focus:perturbation response prediction· 1 Assay:protein sequence· 1 Assay:scRNA-seq· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Anas BedraouiiD· 2 shared Fatima Zahra El Hajji· 2 shared Rachid El FatimyiD· 2 shared Salim El MejjadiD· 2 shared Tariq DaoudaiD· 2 shared Jacob Anthony GalaniD· 1 shared Matan Hofree· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Anas BedraouiORCID

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2 papers

Recent·Most cited

scDisentangle: sequential disentanglement for single-cell perturbation response prediction

Salim El Mejjad, Salwa Enezari, Anas Bedraoui, Fatima Zahra El Hajji, Rachid El Fatimy, Matan Hofree, Tariq Daouda

scDisentangle predicts single-cell transcriptional responses to perturbations by decomposing expression into residual components, outperforming existing methods in cytokine stimulation, infection, and genetic perturbations.

bioRxiv · Nov 6, 2026 · PreprintBioinformatics

Neurotox: Deep learning decodes conserved hallmarks of neurotoxicity across venomous species

Anas Bedraoui, Salim El Mejjad, Salwa Enezari, Fatima Zahra El Hajji, Jacob Anthony Galan, Rachid El Fatimy, Tariq Daouda

Neurotox identifies sequence-based neurotoxicity hallmarks across species using deep learning, showing structural changes correlate with loss of predicted neurotoxicity.

bioRxiv · Mar 10, 2026 · PreprintBioinformatics