Author

Yahya Benslimane

Institute for Research in Immunology and Cancer

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

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Albert FeghalyiD· 1 shared Claude PerreaultiD· 1 shared Étienne GagnoniD· 1 shared François MajoriD· 1 shared Lea A. HarringtoniD· 1 shared Mathieu CourcellesiD· 1 shared Maude Dumont-LagacéiD· 1 shared Mohamed BenhammadiiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Albert FeghalyORCID

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1 paper

Recent·Most cited

CAMAP: Artificial neural networks unveil the role of codon arrangement in modulating MHC-I peptides presentation

Tariq Daouda, Maude Dumont-Lagacé, Albert Feghaly, Yahya Benslimane, Rébecca Panès, Mathieu Courcelles, Mohamed Benhammadi, Lea A. Harrington, Pierre Thibault, François Major, Yoshua Bengio, Étienne Gagnon, Sébastien Lemieux, Claude Perreault

The paper introduces CAMAP, an artificial neural network that predicts MHC-I peptide presentation by analyzing codon arrangement in mRNA sequences, improving prediction accuracy beyond traditional methods.

bioRxiv · Jun 3, 2020 · PreprintBioinformatics