| Functional divergence and evolutionary turnover in mammalian phosphoproteomes L Freschi, M Osseni, CR Landry PLoS genetics 10 (1), e1004062, 2014 | 50 | 2014 |
| Machine learning analysis identifies genes differentiating triple negative breast cancers C Kothari, MA Osseni, L Agbo, G Ouellette, M Déraspe, F Laviolette, ... Scientific reports 10 (1), 10464, 2020 | 36 | 2020 |
| Are machine learning algorithms more accurate in predicting vegetable and fruit consumption than traditional statistical models? An exploratory analysis M Côté, MA Osseni, D Brassard, É Carbonneau, J Robitaille, MC Vohl, ... Frontiers in Nutrition, 174, 2022 | 9 | 2022 |
| MOT: a Multi-Omics Transformer for multiclass classification tumour types predictions MA Osseni, P Tossou, F Laviolette, J Corbeil BioRxiv, 2022.11. 14.516459, 2022 | 5 | 2022 |
| On the robustness of generalization of drug–drug interaction models R Kpanou, MA Osseni, P Tossou, F Laviolette, J Corbeil BMC bioinformatics 22, 1-21, 2021 | 4 | 2021 |
| Applying PySCMGroup to Breast Cancer Biomarkers Discovery. MA Osseni, P Tossou, J Corbeil, F Laviolette BIOINFORMATICS, 72-82, 2021 | 3 | 2021 |
| Modélisation électrophysiologique et biochimique d'un neurone: CA1 cellule de l'hippocampe MA Osseni Université Laval, 2015 | | 2015 |
