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Variable Selection in Model-based Clustering: A General Variable Role Modeling

Archive ouverte | Maugis, Cathy | CCSD

The currently available variable selection procedures in model-based clustering assume that the irrelevant clustering variables are all independent or are all linked with the relevant clustering variables. We propose a more versat...

Mixture models as a useful tool for identifying co-expressed genes from RNA-seq data

Archive ouverte | Rau, Andrea | CCSD

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

Archive ouverte | Maugis, Cathy | CCSD

Biologists are interested in predicting the gene functions of sequenced genome organisms according to microarray transcriptome data. The microarray technology development allows one to study the whole genome in different experimen...

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