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ORCIDMarie-Laure Martin-Magniette
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Books and Theses
- 2013
[b1]Marie-Laure Martin-Magniette:
Approches statistiques pour l'analyse de données génomiques. University of Évry Val d'Essonne, France, 2013
Journal Articles
- 2018
- [j16]Guillem Rigaill, Sandrine Balzergue, Véronique Brunaud, Eddy Blondet, Andrea Rau, Odile Rogier
, José Caius, Cathy Maugis-Rabusseau, Ludivine Taconnat, Sébastien Aubourg, Claire Lurin, Marie-Laure Martin-Magniette, Etienne Delannoy:
Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis. Briefings Bioinform. 19(1): 65-76 (2018) - 2016
- [j15]Panagiotis Papastamoulis, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau:
On the estimation of mixtures of Poisson regression models with large number of components. Comput. Stat. Data Anal. 93: 97-106 (2016) - 2015
- [j14]Andrea Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, Gilles Celeux:
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models. Bioinform. 31(9): 1420-1427 (2015) - [j13]Rim Zaag, Jean-Philippe Tamby, Cécile Guichard, Zakia Tariq, Guillem Rigaill, Etienne Delannoy, Jean-Pierre Renou, Sandrine Balzergue, Tristan Mary-Huard, Sébastien Aubourg, Marie-Laure Martin-Magniette, Véronique Brunaud:
GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Arabidopsis thaliana genes involved in stress response. Nucleic Acids Res. 43(Database-Issue): 1010-1017 (2015) - 2014
- [j12]Stevenn Volant, Caroline Bérard, Marie-Laure Martin-Magniette, Stéphane Robin:
Hidden Markov Models with mixtures as emission distributions. Stat. Comput. 24(4): 493-504 (2014) - 2013
- [j11]Caroline Bérard, Michael Seifert, Tristan Mary-Huard, Marie-Laure Martin-Magniette:
MultiChIPmixHMM: an R package for ChIP-chip data analysis modeling spatial dependencies and multiple replicates. BMC Bioinform. 14: 271 (2013) - 2012
- [j10]Stevenn Volant, Marie-Laure Martin-Magniette, Stéphane Robin:
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency. Comput. Stat. Data Anal. 56(8): 2375-2387 (2012) - [j9]Jimmy Vandel, Brigitte Mangin, Matthieu Vignes, Damien Leroux, Olivier Loudet, Marie-Laure Martin-Magniette, Simon de Givry:
Inférence de réseaux de régulation de gènes au travers de scores étendus dans les réseaux bayésiens. Rev. d'Intelligence Artif. 26(6): 679-708 (2012) - 2011
- [j8]Cathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette:
Variable selection in model-based discriminant analysis. J. Multivar. Anal. 102(10): 1374-1387 (2011) - 2009
- [j7]Cathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette:
Variable selection in model-based clustering: A general variable role modeling. Comput. Stat. Data Anal. 53(11): 3872-3882 (2009) - [j6]Caroline Bérard, Marie-Laure Martin-Magniette, Alexandra To, François Roudier, Vincent Colot, Stéphane Robin:
Mélanges gaussiens bidimensionnels pour la comparaison de deux échantillons de chromatine immunoprécipitée. Monde des Util. Anal. Données 40: 53-68 (2009) - [j5]Cathy Maugis, Marie-Laure Martin-Magniette, Jean-Philippe Tamby, Jean-Pierre Renou, Alain Lecharny, Sébastien Aubourg, Gilles Celeux:
Sélection de variables pour la classification par mélanges gaussiens pour prédire la fonction des gènes orphelins. Monde des Util. Anal. Données 40: 69-80 (2009) - 2008
- [j4]Marie-Laure Martin-Magniette, Julie Aubert, Avner Bar-Hen, Samira Elftieh, Frédéric Magniette, Jean-Pierre Renou, Jean-Jacques Daudin:
Normalization for triple-target microarray experiments. BMC Bioinform. 9 (2008) - [j3]Séverine Gagnot, Jean-Philippe Tamby, Marie-Laure Martin-Magniette, Frédérique Bitton, Ludivine Taconnat, Sandrine Balzergue, Sébastien Aubourg, Jean-Pierre Renou, Alain Lecharny, Véronique Brunaud:
CATdb: a public access to Arabidopsis transcriptome data from the URGV-CATMA platform. Nucleic Acids Res. 36(Database-Issue): 986-990 (2008) - 2005
- [j2]Marie-Laure Martin-Magniette, Julie Aubert, Eric Cabannes, Jean-Jacques Daudin:
Evaluation of the gene-specific dye bias in cDNA microarray experiments. Bioinform. 21(9): 1995-2000 (2005) - [j1]Marie-Laure Martin-Magniette, Julie Aubert, Eric Cabannes, Jean-Jacques Daudin:
Answer to the comments of K. Dobbin, J. Shih and R. Simon on the paper 'Evaluation of the gene-specific dye-bias in cDNA microarray experiments'. Bioinform. 21(14): 3065- (2005)
Conference and Workshop Papers
- 2008
- [c1]Marie-Laure Martin-Magniette, Tristan Mary-Huard, Caroline Bérard, Stéphane Robin:
ChIPmix: mixture model of regressions for two-color ChIP-chip analysis. ECCB 2008: 181-186
Informal and Other Publications
- 2021
- [i2]Tristan Mary-Huard, Vittorio Perduca, Gilles Blanchard, Marie-Laure Martin-Magniette:
Error rate control for classification rules in multiclass mixture models. CoRR abs/2109.14235 (2021) - 2012
- [i1]Stevenn Volant, Caroline Bérard, Marie-Laure Martin-Magniette, Stéphane Robin:
Hidden Markov Models with mixtures as emission distributions. CoRR abs/1206.5102 (2012)
Coauthor Index
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