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Jeremy Grignard
Jeremy Grignard
Institut de Recherches Servier
Verified email at servier.com
Title
Cited by
Cited by
Year
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
422018
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
392023
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
52019
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
32022
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
22023
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
12022
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
12019
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
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