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Cathy Maugis

Showing results (1-10 of 8) with videos related to

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Briefings in Bioinformatics|January 10, 2017
Transformation and model choice for RNA-seq co-expression analysisAndrea Rau, Cathy Maugis-Rabusseau
Biometrics|February 13, 2009
Variable selection for clustering with Gaussian mixture modelsCathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette
Bioinformatics (Oxford, England)|January 8, 2015
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture modelsAndrea Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, et al.
Journal De La Societe Francaise De Statistique (2009)|October 4, 2014
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based ClusteringGilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau, et al.
Frontiers in Cell and Developmental Biology|February 15, 2021
Insights on the Control of Yeast Single-Cell Growth Variability by Members of the Trehalose Phosphate Synthase (TPS) ComplexSevan Arabaciyan, Michael Saint-Antoine, Cathy Maugis-Rabusseau, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
The DendrisCHIP<sup>®</sup> Technology as a New, Rapid and Reliable Molecular Method for the Diagnosis of Osteoarticular InfectionsElodie Bernard, Thomas Peyret, Mathilde Plinet, et al.
Briefings in Bioinformatics|October 16, 2016
Synthetic data sets for the identification of key ingredients for RNA-seq differential analysisGuillem Rigaill, Sandrine Balzergue, Véronique Brunaud, et al.
Scientific Reports|June 19, 2026
Regenerative repair is connected to early and specific structural, immune, and metabolic MSC signatures in adult mammalsMiguel Thomas, Anastasia Pacary, Emmanuelle Arnaud, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Briefings in Bioinformatics|January 10, 2017
Transformation and model choice for RNA-seq co-expression analysisAndrea Rau, Cathy Maugis-Rabusseau
Biometrics|February 13, 2009
Variable selection for clustering with Gaussian mixture modelsCathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette
Bioinformatics (Oxford, England)|January 8, 2015
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture modelsAndrea Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, et al.
Journal De La Societe Francaise De Statistique (2009)|October 4, 2014
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based ClusteringGilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau, et al.
Frontiers in Cell and Developmental Biology|February 15, 2021
Insights on the Control of Yeast Single-Cell Growth Variability by Members of the Trehalose Phosphate Synthase (TPS) ComplexSevan Arabaciyan, Michael Saint-Antoine, Cathy Maugis-Rabusseau, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
The DendrisCHIP<sup>®</sup> Technology as a New, Rapid and Reliable Molecular Method for the Diagnosis of Osteoarticular InfectionsElodie Bernard, Thomas Peyret, Mathilde Plinet, et al.
Briefings in Bioinformatics|October 16, 2016
Synthetic data sets for the identification of key ingredients for RNA-seq differential analysisGuillem Rigaill, Sandrine Balzergue, Véronique Brunaud, et al.
Scientific Reports|June 19, 2026
Regenerative repair is connected to early and specific structural, immune, and metabolic MSC signatures in adult mammalsMiguel Thomas, Anastasia Pacary, Emmanuelle Arnaud, et al.
Pageof 1