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
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
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
The combinatorics of overlapping genes
S Lèbre, O Gascuel
Journal of theoretical biology 415, 90-101, 2017
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
Modeling transcription factor combinatorics in promoters and enhancers
J Vandel, O Cassan, S Lebre, CH Lecellier, L Brehelin
bioRxiv, 197418, 2017
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
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
Nonhomogeneous dynamic Bayesian networks in systems biology
S Lebre, F Dondelinger, D Husmeier
Next Generation Microarray Bioinformatics, 199-213, 2012
An evolution model for sequence length based on residue insertion–deletion independent of substitution: an application to the GC content in bacterial genomes
S Lèbre, CJ Michel
Bulletin of mathematical biology 74 (8), 1764-1788, 2012
Genome evolution by transformation, expansion and contraction (GETEC)
E Benard, S Lèbre, CJ Michel
BioSystems 135, 15-34, 2015
A new molecular evolution model for limited insertion independent of substitution
S Lèbre, CJ Michel
Mathematical biosciences 245 (2), 137-147, 2013
A Bayesian regression and multiple changepoint model for systems biology
F Dondelinger, A Aderhold, S Lebre, M Grzegorczyk, D Husmeier
Copiformes SL, 2011
Modeling a Regulatory Network Using Temporal Gene Expression Data: Why and How?
S Lèbre, G Lelandais
Automation in Proteomics and Genomics: An Engineering Case-Based Approach, 69-96, 2009
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