Sophie Lèbre
Sophie Lèbre
IMAG UMR 5149, Université Paul Valéry Montpellier 3, COSTNET CA15109
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Cited by
Cited by
Wisdom of crowds for robust gene network inference
D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ...
Nature methods 9 (8), 796, 2012
Bayesian networks in R
R Nagarajan, M Scutari, S Lèbre
Springer 122, 125-127, 2013
Statistical inference of the time-varying structure of gene-regulation networks
S Lebre, J Becq, F Devaux, MPH Stumpf, G Lelandais
BMC systems biology 4 (1), 130, 2010
Inferring dynamic genetic networks with low order independencies
S Lèbre
Statistical applications in genetics and molecular biology 8 (1), 1-38, 2009
Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure
F Dondelinger, S Lèbre, D Husmeier
Machine Learning 90 (2), 191-230, 2013
Heterogeneous continuous dynamic bayesian networks with flexible structure and inter-time segment information sharing
F Dondelinger, S Lebre, D Husmeier
Omnipress, 2010
Stochastic process analysis for Genomics and Dynamic Bayesian Networks inference.
S Lebre
Université d'Evry-Val d'Essonne, 2007
Modeling transcription factor combinatorics in promoters and enhancers
J Vandel, O Cassan, S Lebre, CH Lecellier, L Brehelin
bioRxiv, 197418, 2017
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
D Husmeier, F Dondelinger, S Lebre
Advances in Neural Information Processing Systems, 901-909, 2010
The combinatorics of overlapping genes
S Lèbre, O Gascuel
Journal of theoretical biology 415, 90-101, 2017
Dynamic Bayesian networks in molecular plant science: inferring gene regulatory networks from multiple gene expression time series
F Dondelinger, D Husmeier, S Lèbre
Euphytica 183 (3), 361-377, 2012
Inferring and analyzing gene regulatory networks from multi-factorial expression data: a complete and interactive suite
O Cassan, S Lèbre, A Martin
BMC genomics 22 (1), 387, 2021
An EM algorithm for estimation in the mixture transition distribution model
S Lèbre, PY Bourguignon
Journal of Statistical Computation and Simulation 78 (8), 713-729, 2008
Probing instructions for expression regulation in gene nucleotide compositions
C Bessière, M Taha, F Petitprez, J Vandel, JM Marin, L Bréhélin, S Lèbre, ...
PLoS computational biology 14 (1), e1005921, 2018
Fra-1 regulates its target genes via binding to remote enhancers without exerting major control on chromatin architecture in triple negative breast cancers
F Bejjani, C Tolza, M Boulanger, D Downes, R Romero, MA Maqbool, ...
Nucleic acids research 49 (5), 2488-2508, 2021
A stochastic evolution model for residue insertion–deletion independent from substitution
S Lèbre, CJ Michel
Computational biology and chemistry 34 (5-6), 259-267, 2010
Bayesian networks in the absence of temporal information
R Nagarajan, M Scutari, S Lèbre, R Nagarajan, M Scutari, S Lèbre
Bayesian Networks in R: with Applications in Systems Biology, 13-58, 2013
Sophie Lebre, and Dirk Husmeier. Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure
F Dondelinger
Machine Learning 90 (2), 191-230, 2013
Analyse de processus stochastiques pour la génomique: étude du modele MTD et inférence de réseaux bayésiens dynamiques
S Lèbre
Evry-Val d'Essonne, 2007
A gene regulatory network in Arabidopsis roots reveals features and regulators of the plant response to elevated CO2
O Cassan, LL Pimparé, C Dubos, A Gojon, L Bach, S Lèbre, A Martin
New Phytologist, 2023
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