| Core Models of Receptor Reactions to Evaluate Basic Pathway Designs Enabling Heterogeneous Commitments to Apoptosis M Péré, M Chaves, J Roux Computational Methods in Systems Biology: 18th International Conference …, 2020 | 3 | 2020 |
| Coupling live-cell imaging and in situ isolation of the same single cell to profile the transient states of predicted drug-tolerant cells B Bian, A Paquet, MJ Arguel, M Meyer, L Peyre, A Chalabi, M Péré, ... STAR Protocols 3 (3), 101600, 2022 | 2 | 2022 |
| Modeling isogenic cancer cell response upon varying TRAIL stimulations to decipher the kinetic determinants of cell fate decision M Péré, D Oyarzun, J Roux, M Chaves IFAC-PapersOnLine 55 (23), 46-51, 2022 | 1 | 2022 |
| Numerical approach to the identification of fractional differential equations and applications in epidemics J Cresson, M Péré, A Szafranska | | 2023 |
| Modeling cancer drug response dynamics in single-cells to predict the emergence of drug-tolerant cells M Péré Université Côte d'Azur, 2023 | | 2023 |
| Integrating machine learning methods to single-cell experimental workflow increases throughput and accuracy for target identification in immuno-oncology M Péré, A Chalabi, D Oyarzun, M Chaves, J Roux Sophia Summit AI, 2022 | | 2022 |
| Integrating machine learning methods to single cell signaling analyses increases throughput and accuracy for target identification in immuno-oncology M Péré, A Chalabi, D Oyarzun, M Chaves, J Roux 5th Signalife Labex Meeting, 2022 | | 2022 |
| Analyzing single-cell trajectories by coupling ODEs and machine learning models predicts cancer drugs response in live-cell microscopy assays M Péré, D Oyarzun, M Chaves, J Roux compsyscan22: A complex systems approach to cancer understanding, 2022 | | 2022 |
| Analyzing single-cell trajectories with augmented machine learning methods predicts cancer drugs response in live-cell microscopy assays M Péré, D Oyarzun, M Chaves, J Roux 21th international conference on systems biology (ICSB 2022), 2022 | | 2022 |
| Modelling cell response to cancer drug treatment identifies dynamic features of efficient cell death initiation, enabling prediction and control of therapeutic response … M Péré, M Chaves, J Roux inSiDE seminars (Signaling Dynamics and Encoding,) Connecting scientists …, 2022 | | 2022 |
| Modeling isogenic cancer cell response upon TRAIL treatment in multi-omics studies M Péré, A Chalabi, J Roux Multiple facets of RNA in development and disease conference, 2022 | | 2022 |
| TRAIL-induced apoptosis signaling modeling identifies dynamic signs of efficient cell death initiation, enabling an early prediction of the cell response M Péré, M Chaves, J Roux CMSB 2021-19th International Conference on Computational Methods in Systems …, 2021 | | 2021 |
