Reduction of a stochastic model of gene expression: Lagrangian dynamics gives access to basins of attraction as cell types and metastabilty E Ventre, T Espinasse, CE Bréhier, V Calvez, T Lepoutre, O Gandrillon Journal of Mathematical Biology 83 (5), 59, 2021 | 11 | 2021 |
One model fits all: combining inference and simulation of gene regulatory networks E Ventre, U Herbach, T Espinasse, G Benoit, O Gandrillon PLoS Computational Biology 19 (3), e1010962, 2023 | 10 | 2023 |
Reverse engineering of a mechanistic model of gene expression using metastability and temporal dynamics E Ventre In Silico Biology 14 (3-4), 89-113, 2021 | 9 | 2021 |
Evidence for close molecular proximity between reverting and undifferentiated cells S Zreika, C Fourneaux, E Vallin, L Modolo, R Seraphin, A Moussy, ... BMC biology 20 (1), 155, 2022 | 7 | 2022 |
Analyse, calibration et évaluation de modèles stochastiques d'expression des gènes E Ventre Lyon, École normale supérieure, 2022 | 1 | 2022 |
Convergence of the Sinkhorn algorithm when the Schr\" odinger problem has no solution A Baradat, E Ventre arXiv preprint arXiv:2207.02977, 2022 | 1 | 2022 |
Trajectory inference for a branching SDE model of cell differentiation E Ventre, A Forrow, N Gadhiwala, P Chakraborty, O Angel, G Schiebinger arXiv preprint arXiv:2307.07687, 2023 | | 2023 |
Quasi-stationary behavior for a piecewise deterministic Markov model of chemostat: the Crump–Young model B Cloez, C Fritsch, JM Monnez, AMG Cox, E Horton, D Villemonais, ... Annales Henri Lebesgue 6, 1371-1427, 2023 | | 2023 |
Analysis, calibration and evaluation of stochastic models of gene expression E Ventre Ecole normale supérieure de lyon-ENS LYON, 2022 | | 2022 |