| JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations SN Chandrasekaran, J Ackerman, E Alix, DM Ando, J Arevalo, M Bennion, ... BioRxiv, 2023.03. 23.534023, 2023 | 46 | 2023 |
| Detecting controllers' actions in past mode S data by autoencoder-based anomaly detection X Olive, J Grignard, T Dubot, J Saint-Lot SID 2018, 8th SESAR Innovation Days, 2018 | 43 | 2018 |
| A statistical unsupervised learning algorithm for inferring reaction networks from time series data J Martinelli, J Grignard, S Soliman, F Fages ICML 2019-Workshop on Computational Biology, 2019 | 5 | 2019 |
| Mathematical modeling of the microtubule detyrosination/tyrosination cycle for cell-based drug screening design J Grignard, V Lamamy, E Vermersch, P Delagrange, JP Stephan, T Dorval, ... PLOS Computational Biology 18 (6), e1010236, 2022 | 3 | 2022 |
| Transforming drug discovery with a high-throughput AI-powered platform: A 5-year experience with Patrimony FXB de Thé, C Baudier, RA Pereira, C Lefebvre, P Moingeon, ... Drug Discovery Today 28 (11), 103772, 2023 | 2 | 2023 |
| Reactmine: a statistical search algorithm for inferring chemical reactions from time series data J Martinelli, J Grignard, S Soliman, A Ballesta, F Fages arXiv preprint arXiv:2209.03185, 2022 | 2 | 2022 |
| On inferring reactions from data time series by a statistical learning greedy heuristics J Martinelli, J Grignard, S Soliman, F Fages Computational Methods in Systems Biology: 17th International Conference …, 2019 | 1 | 2019 |
| Méthodes computationnelles pour améliorer les phases primaires de recherche de nouveaux médicaments J Grignard Institut Polytechnique de Paris, 2022 | | 2022 |
| Computational methods to improve the early drug discovery G Jeremy École polytechnique - Institut Polytechnique de Paris, 2022 | | 2022 |
| Pegasus: A Knowledge Graph to Support Drug Discovery J Grignard, F Fages, T Dorval Neo4j Health Care & Life Sciences Workshop, 2021 | | 2021 |
| An end-to-end pipeline to normalize and maximize the phenotypic information from high-content data for drug screening applications Fifth Annual CytoData Society, 2020 | | 2020 |
| Building Energy Optimization by Parameterization of Sources and Exchange Surfaces J Grignard, A Witkowicz, N Donnaint, L Sadoudi, L Kyota Sustainable Development Conference, 42-48, 2017 | | 2017 |
| PAC Learning of Thomas Regulatory Networks from Time-Series Data A Carcano, F Fages, J Grignard, S Soliman | | |
François FagesResearch Director, Inria, Saclay - Ile de FranceAdresse e-mail validée de inria.fr
