Cathy Maugis

According to our database, Cathy Maugis authored at least 11 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

IGLOO: An Iterative Global Exploration and Local Optimization Algorithm to Find Diverse Low-Energy Conformations of Flexible Molecules.

William Margerit, Antoine Charpentier, Cathy Maugis-Rabusseau, Johann Christian Schön, Nathalie Tarrat, Juan Cortés

Algorithms, 2023

2019

Sparse Regularization for Mixture Problems.

Yohann de Castro, Sébastien Gadat, Clément Marteau, Cathy Maugis-Rabusseau

CoRR, 2019

Variable selection in model-based clustering and discriminant analysis with a regularization approach.

Gilles Celeux, Cathy Maugis-Rabusseau, Mohammed Sedki

Adv. Data Anal. Classif., 2019

2018

Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis.

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

Briefings Bioinform., 2018

Transformation and model choice for RNA-seq co-expression analysis.

Andrea Rau, Cathy Maugis-Rabusseau

Briefings Bioinform., 2018

2016

On the estimation of mixtures of Poisson regression models with large number of components.

Panagiotis Papastamoulis, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau

Comput. Stat. Data Anal., 2016

2015

Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models.

Andrea Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, Gilles Celeux

Bioinform., 2015

2012

Slope heuristics: overview and implementation.

Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel

Stat. Comput., 2012

2011

Variable selection in model-based discriminant analysis.

Cathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette

J. Multivar. Anal., 2011

2009

Sélection de variables pour la classification par mélanges gaussiens pour prédire la fonction des gènes orphelins.

Cathy Maugis, Marie-Laure Martin-Magniette, Jean-Philippe Tamby, Jean-Pierre Renou, Alain Lecharny, Sébastien Aubourg, Gilles Celeux

Monde des Util. Anal. Données, 2009

Variable selection in model-based clustering: A general variable role modeling.

Cathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette

Comput. Stat. Data Anal., 2009