Matthieu Vignes
Cited by
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Gene regulatory network reconstruction using Bayesian networks, the Dantzig Selector, the Lasso and their meta-analysis
M Vignes, J Vandel, D Allouche, N Ramadan-Alban, C Cierco-Ayrolles, ...
PloS one 6 (12), e29165, 2011
The dynamics of root meristem distribution in the soil
L Dupuy, M Vignes, BM McKenzie, PJ White
Plant, cell & environment 33 (3), 358-369, 2010
Gene clustering via integrated Markov models combining individual and pairwise features
M Vignes, F Forbes
IEEE/ACM transactions on computational biology and bioinformatics 6 (2), 260-270, 2008
Bridging physiological and evolutionary time‐scales in a gene regulatory network
G Marchand, VA Huynh‐Thu, NC Kane, S Arribat, D Varès, D Rengel, ...
New Phytologist 203 (2), 685-696, 2014
A model-based approach to gene clustering with missing observation reconstruction in a Markov random field framework
J Blanchet, M Vignes
Journal of Computational Biology 16 (3), 475-486, 2009
Gene regulatory networks: a primer in biological processes and statistical modelling
O Angelin-Bonnet, PJ Biggs, M Vignes
Gene Regulatory Networks, 347-383, 2019
A panel of learning methods for the reconstruction of gene regulatory networks in a systems genetics context
D Allouche, C Cierco-Ayrolles, S De Givry, G Guillermin, B Mangin, ...
Gene Network Inference, 9-31, 2013
An algorithm for the simulation of the growth of root systems on deformable domains
LX Dupuy, M Vignes
Journal of theoretical biology 310, 164-174, 2012
Exact and approximate inference in graphical models: variable elimination and beyond
N Peyrard, MJ Cros, S de Givry, A Franc, S Robin, R Sabbadin, T Schiex, ...
arXiv preprint arXiv:1506.08544, 2015
Sparse regression and support recovery with L2-boosting algorithms
M Champion, C Cierco-Ayrolles, S Gadat, M Vignes
Journal of Statistical Planning and Inference 155, 19-41, 2014
Inferring networks from multiple samples with consensus lasso
N Villa-Vialaneix, M Vignes, N Viguerie, MS Cristobal
Quality Technology & Quantitative Management 11 (1), 39-60, 2014
Inferring large graphs using ℓ 1 -penalized likelihood
M Champion, V Picheny, M Vignes
Statistics and Computing 28 (4), 905-921, 2018
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
J Blanchet, M Vignes
2007 IEEE 7th International Symposium on BioInformatics and BioEngineering …, 2007
Extended Bayesian scores for reconstructing gene regulatory networks
J Vandel, B Mangin, M Vignes, S de Givry
ECCS-10 workshop on graphical models for reasoning on biological systems …, 2010
Integrated Markov models for clustering genes combining individual features and pairwise relationships
M Vignes, F Forbes
4th workshop on Statistical methods for post-genomic data, Toulouse, France, 2006
Reconstruction quality of a biological network when its constituting elements are partially observed
V Picheny, J Vandel, M Vignes, N Villa-Vialaneix
Seventeenth International Conference on Artificial Intelligence and …, 2014
Meristematic waves, a new approach to root architecture dynamics
L Dupuy, M Vignes, B McKenzie, PJ White
Journees Ouvertes en Biologie Informatique Mathematiques, 97, 2009
Clustering with incomplete dependent data
J Blanchet, F Forbes, M Vignes
Actes des 39esJournées De Statistiques, Angers, 2007
Champs de Markov cachés et fusion de données individuelles et pairées pour l’identification de groupes de gènes
F Forbes, M Vignes
Actes des 6esJournées Ouvertes Biologie, Informatique et Mathématiques, Lyon, 2005
Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks
A White, M Vignes
Gene Regulatory Networks, 111-142, 2019
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