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 | 1831 | 2012 |
Bayesian networks in R R Nagarajan, M Scutari, S Lèbre Springer 122, 125-127, 2013 | 535 | 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 | 223 | 2010 |
Inferring dynamic genetic networks with low order independencies S Lèbre Statistical applications in genetics and molecular biology 8 (1), 1-38, 2009 | 125 | 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 | 119 | 2013 |
Modeling transcription factor combinatorics in promoters and enhancers J Vandel, O Cassan, S Lebre, CH Lecellier, L Brehelin bioRxiv, 197418, 2017 | 38* | 2017 |
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 | 36 | 2021 |
Heterogeneous continuous dynamic bayesian networks with flexible structure and inter-time segment information sharing F Dondelinger, S Lebre, D Husmeier Omnipress, 2010 | 36 | 2010 |
Stochastic process analysis for Genomics and Dynamic Bayesian Networks inference. S Lebre Université d'Evry-Val d'Essonne, 2007 | 34 | 2007 |
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 | 30 | 2010 |
The combinatorics of overlapping genes S Lèbre, O Gascuel Journal of theoretical biology 415, 90-101, 2017 | 28 | 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 | 27 | 2012 |
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 | 22 | 2008 |
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 | 20 | 2021 |
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 | 20 | 2018 |
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 | 13 | 2010 |
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 | 11 | 2023 |
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 | 9 | 2013 |
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 | 9 | 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 | 8 | 2007 |