| Application of fourier transform and proteochemometrics principles to protein engineering F Cadet, N Fontaine, I Vetrivel, M Ng Fuk Chong, O Savriama, X Cadet, ... BMC bioinformatics 19, 1-11, 2018 | 26 | 2018 |
| Machine learning enables selection of epistatic enzyme mutants for stability against unfolding and detrimental aggregation G Li, Y Qin, NT Fontaine, M Ng Fuk Chong, MA Maria‐Solano, F Feixas, ... ChemBioChem 22 (5), 904-914, 2021 | 24 | 2021 |
| A machine learning approach for efficient selection of enzyme concentrations and its application for flux optimization A Ajjolli Nagaraja, P Charton, XF Cadet, N Fontaine, M Delsaut, B Wiltschi, ... Catalysts 10 (3), 291, 2020 | 19 | 2020 |
| Identification of flux checkpoints in a metabolic pathway through white-box, grey-box and black-box modeling approaches O Lo-Thong, P Charton, XF Cadet, B Grondin-Perez, E Saavedra, ... Scientific reports 10 (1), 13446, 2020 | 14 | 2020 |
| Novel descriptors and digital signal processing-based method for protein sequence activity relationship study NT Fontaine, XF Cadet, I Vetrivel International Journal of Molecular Sciences 20 (22), 5640, 2019 | 12 | 2019 |
| Use of Machine Learning and Infrared Spectra for Rheological Characterization and Application to the Apricot XF Cadet, O Lo-Thong, S Bureau, R Dehak, M Bessafi Scientific Reports 9 (1), 19197, 2019 | 11 | 2019 |
| Learning Strategies in Protein Directed EvolutionDirected evolution (DE) XF Cadet, JC Gelly, A van Noord, F Cadet, CG Acevedo-Rocha Directed Evolution: Methods and Protocols, 225-275, 2022 | 9 | 2022 |
| Non-Linear Dynamics Analysis of Protein Sequences. Application to CYP450 XF Cadet, R Dehak, SP Chin, M Bessafi Entropy 21 (9), 852, 2019 | 4 | 2019 |
| MicroT: Low-Energy and Adaptive Models for MCUs Y Huang, R Aloufi, X Cadet, Y Zhao, P Barnaghi, H Haddadi arXiv preprint arXiv:2403.08040, 2024 | 1 | 2024 |
| Method and electronic system for predicting at least one fitness value of a protein via an extended numerical sequence, related computer program product X Cadet, N Fontaine US Patent App. 17/261,341, 2021 | 1 | 2021 |
| Non-Hemolytic Peptide Classification Using A Quantum Support Vector Machine S Zhuang, J Tanner, Y Wu, DQ Huynh, WLXF Cadet, N Fontaine, ... arXiv preprint arXiv:2402.03847, 2024 | | 2024 |
| A Study on the Reliability of Automatic Dysarthric Speech Assessments XF Cadet, R Aloufi, S Ahmadi-Abhari, H Haddadi arXiv preprint arXiv:2306.04337, 2023 | | 2023 |
| Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal XF Cadet, R Aloufi, A Miranville, S Ahmadi-Abhari, H Haddadi arXiv preprint arXiv:2306.01398, 2023 | | 2023 |
| Correction to: Learning Strategies in Protein Directed Evolution XF Cadet, JC Gelly, A van Noord, F Cadet, CG Acevedo-Rocha Directed Evolution: Methods and Protocols, C1-C1, 2023 | | 2023 |
| FIB: A Method for Evaluation of Feature Impact Balance in Multi-Dimensional Data XF Cadet, S Ahmadi-Abhari, H Haddadi arXiv preprint arXiv:2207.04500, 2022 | | 2022 |
| Non-linearity of Metabolic Pathways Critically Influences the Choice of Machine Learning Model O Lo-Thong-Viramoutou, P Charton, XF Cadet, B Grondin-Perez, ... Frontiers in Artificial Intelligence 5, 744755, 2022 | | 2022 |
