Latest

• IGLOO: An Iterative Global Exploration and Local Optimization Algorithm to Find Diverse Low-Energy Conformations of Flexible Molecules
• Selective inference after convex clustering with l1 penalization
• Quelques contributions autour des modèles de mélanges et pour l'analyse de données transcriptomiques
• The DendrisCHIP® Technology as a New, Rapid and Reliable Molecular Method for the Diagnosis of Osteoarticular Infections
• Insights on the control of yeast single-cell growth variability by members of the Trehalose Phosphate Synthase (TPS) complex
• Supermix : sparse regularization for mixtures.
• Multiview cluster aggregation and splitting, with an application to multiomic breast cancer data
• Parameter recovery in two-component contamination mixtures: The $L^2$ strategy
• Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data
• Variable selection in model-based clustering and discriminant analysis with a regularization approach
• Multidimensional two-component Gaussian mixtures detection
• Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis
• Transformation and model choice for RNA-seq co-expression analysis
• Chapter 10 : Clustering of co-expressed genes.
• Chapter 9: High-dimensional clustering.
• Non-asymptotic detection of two-component mixtures with unknown means
• On the estimation of mixtures of Poisson regression models with large number of components
• Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models
• Comparing model selection and regularization approaches to variable selection in model-based clustering
• Adaptive density estimation for clustering with Gaussian mixtures
• A sparse variable selection procedure in model-based clustering
• SelvarClustMV: Variable selection approach in model-based clustering allowing for missing values