| Inferring biologically relevant molecular tissue substructures by agglomerative clustering of digitized spatial transcriptomes with multilayer J Moehlin, B Mollet, BM Colombo, MA Mendoza-Parra Cell Systems 12 (7), 694-705. e3, 2021 | 26 | 2021 |
| A neural-mechanistic hybrid approach improving the predictive power of genome-scale metabolic models L Faure, B Mollet, W Liebermeister, JL Faulon Nature Communications 14 (1), 4669, 2023 | 18 | 2023 |
| Artificial Metabolic Networks: enabling neural computation with metabolic networks L Faure, B Mollet, W Liebermeister, JL Faulon | 5 | 2022 |
| Neural-like computation using bacterial metabolism to solve machine-learning problems P Ahavi, B Mollet, A Cornuéjols, E Lutton, A Tonda, A Le Gouellec, ... DIM BioConvS-Innovation Day, 2023 | | 2023 |
| Solving regression problems using bacterial metabolism P Ahavi, B Mollet, A Cornuéjols, E Lutton, A Tonda, A Le Gouellec, ... 2023 Living Machines@ Work day, 2023 | | 2023 |
| Evaluation of information processing capacity of bacterial metabolism through regression problem solving A Paul, B Mollet, A Cornuéjols, E Lutton, A Tonda, A Le Gouellec, ... BioSynSys 2023-Symposium on Synthetic and Systems Biology, 2023 | | 2023 |
| Artificial Metabolic Network for neural computation with metabolism L Faure, JL Faulon, B Mollet AI-4-SynBio UK, 2022 | | 2022 |
| Artificial Metabolic Network L Faure, B Mollet, JL Faulon AAAI Spring Symposium: Artificial Intelligence for Synthetic Biology, 2022 | | 2022 |
| Hybrid models for neural computations with metabolism L Faure, B Mollet, W Liebermeister, JL Faulon | | 2022 |
| Inferring functionally relevant molecular tissue substructures by agglomerative clustering of digitized spatial transcriptomes J Moehlin, B Mollet, BM Colombo, MA Mendoza-Parra bioRxiv, 2020.11. 09.374660, 2020 | | 2020 |
