| Single-cell-based analysis highlights a surge in cell-to-cell molecular variability preceding irreversible commitment in a differentiation process A Richard, L Boullu, U Herbach, A Bonnafoux, V Morin, E Vallin, ... PLoS biology 14 (12), e1002585, 2016 | 220 | 2016 |
| Inferring gene regulatory networks from single-cell data: a mechanistic approach U Herbach, A Bonnaffoux, T Espinasse, O Gandrillon BMC systems biology 11, 1-15, 2017 | 84 | 2017 |
| Entropy as a measure of variability and stemness in single-cell transcriptomics O Gandrillon, M Gaillard, T Espinasse, NB Garnier, C Dussiau, ... Current Opinion in Systems Biology 27, 100348, 2021 | 26 | 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 | 22 | 2023 |
| Estimating the transition matrix of a Markov chain observed at random times F Barsotti, Y De Castro, T Espinasse, P Rochet Statistics & Probability Letters 94, 98-105, 2014 | 17 | 2014 |
| A probabilistic graph coupling view of dimension reduction H Van Assel, T Espinasse, J Chiquet, F Picard Advances in Neural Information Processing Systems 35, 10696-10708, 2022 | 15 | 2022 |
| 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 |
| Diffusivity of a random walk on random walks E Boissard, S Cohen, T Espinasse, J Norris Random Structures & Algorithms 47 (2), 267-283, 2015 | 10 | 2015 |
| A combinatorial approach to a model of constrained random walkers T Espinasse, N Guillotin-Plantard, P Nadeau Combinatorics, Probability and Computing 25 (2), 222-235, 2016 | 5 | 2016 |
| Reconstructing undirected graphs from eigenspaces Y De Castro, T Espinasse, P Rochet Journal of Machine Learning Research 18 (51), 1-24, 2017 | 4 | 2017 |
| Relations between connected and self-avoiding hikes in labelled complete digraphs T Espinasse, P Rochet Graphs and Combinatorics 32, 1851-1871, 2016 | 4 | 2016 |
| Parametric estimation for Gaussian fields indexed by graphs T Espinasse, F Gamboa, JM Loubes Probability Theory and Related Fields 159, 117-155, 2014 | 4 | 2014 |
| Spatio-temporal point process intensity estimation using zero-deflated subsampling applied to a lightning strikes dataset in France JF Coeurjolly, T Espinasse, AL Fougères, M Ribatet Electronic Journal of Statistics 18 (2), 5370-5404, 2024 | 3 | 2024 |
| A coupling of the spectral measures at a vertex T Espinasse, P Rochet arXiv preprint arXiv:1904.10720, 2019 | 3 | 2019 |
| Simplex Regression: Multivariable parametric regression under shape constraints F Wahl, T Espinasse | 2 | 2018 |
| Estimation error for blind Gaussian time series prediction T Espinasse, F Gamboa, JM Loubes Mathematical Methods of Statistics 20 (3), 206-223, 2011 | 2 | 2011 |
| A Cramér–Rao inequality for non-differentiable models T Espinasse, P Rochet Comptes Rendus Mathematique 350 (13-14), 711-715, 2012 | 1 | 2012 |
| Corrigendum to: Entropy as a measure of variability and stemness in single-cell transcriptomics O Gandrillon, M Gaillard, T Espinasse, NB Garnier, C Dussiaud, ... Current Opinion in Systems Biology 35, 100458, 2023 | | 2023 |
| A Kriging procedure for processes indexed by graphs T Espinasse, JM Loubes Statistical Inference for Stochastic Processes 19, 159-173, 2016 | | 2016 |
