| DeepMoD: Deep learning for model discovery in noisy data GJ Both, S Choudhury, P Sens, R Kusters Journal of Computational Physics 428, 109985, 2021 | 127 | 2021 |
| Reconstructing kinetic models for dynamical studies of metabolism using generative adversarial networks S Choudhury, M Moret, P Salvy, D Weilandt, V Hatzimanikatis, L Miskovic Nature Machine Intelligence 4 (8), 710-719, 2022 | 49 | 2022 |
| Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states S Choudhury, B Narayanan, M Moret, V Hatzimanikatis, L Miskovic Nature Catalysis 7 (10), 1086-1098, 2024 | 14 | 2024 |
| Reconstructing kinetic models for dynamical studies of metabo lism using generative adversarial networks. Nat Mach Intell 4: 710–719 S Choudhury, M Moret, P Salvy, D Weilandt, V Hatzimanikatis, L Miskovic | 6 | 2022 |
| Impact of phylogeny on the inference of functional sectors from protein sequence data N Dietler, A Abbara, S Choudhury, AF Bitbol PLoS computational biology 20 (9), e1012091, 2024 | | 2024 |
| Development of Machine Learning methods for the kinetic modelling of metabolic networks for biotechnological and biomedical applications S Choudhury EPFL, 2024 | | 2024 |
| Supplementary datasets for the manuscript" Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states"-Part 2 S Choudhury, B Narayanan, M Moret, V Hatzimanikatis, L Miskovic Zenodo, 2023 | | 2023 |
Gert-Jan BothJanelia Research CampusPreverjeni e-poštni naslov na hhmi.org