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ORCIDCathy Maugis
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2020 – today
- 2023
[j10]William Margerit
, Antoine Charpentier, Cathy Maugis-Rabusseau, Johann Christian Schön, Nathalie Tarrat, Juan Cortés:
IGLOO: An Iterative Global Exploration and Local Optimization Algorithm to Find Diverse Low-Energy Conformations of Flexible Molecules. Algorithms 16(10): 476 (2023)
2010 – 2019
- 2019
- [j9]Gilles Celeux, Cathy Maugis-Rabusseau, Mohammed Sedki:
Variable selection in model-based clustering and discriminant analysis with a regularization approach. Adv. Data Anal. Classif. 13(1): 259-278 (2019) - [i1]Yohann de Castro, Sébastien Gadat, Clément Marteau, Cathy Maugis-Rabusseau:
Sparse Regularization for Mixture Problems. CoRR abs/1907.10592 (2019) - 2018
- [j8]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) - [j7]Andrea Rau, Cathy Maugis-Rabusseau:
Transformation and model choice for RNA-seq co-expression analysis. Briefings Bioinform. 19(3): 425-436 (2018) - 2016
- [j6]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
- [j5]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) - 2012
- [j4]Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel:
Slope heuristics: overview and implementation. Stat. Comput. 22(2): 455-470 (2012) - 2011
- [j3]Cathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette:
Variable selection in model-based discriminant analysis. J. Multivar. Anal. 102(10): 1374-1387 (2011)
2000 – 2009
- 2009
- [j2]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) - [j1]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)
Coauthor Index
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