A Poisson mixture model is implemented to cluster genes from high- throughput transcriptome sequencing (RNA-seq) data. Parameter estimation is performed using either the EM or CEM algorithm, and the slope heuristics are used for model selection (i.e., to choose the number of clusters)
HTSCluster is a package to perform co-expression analyses of RNA-seq data. The package implements a novel statistical method based on a Poisson mixture model, performs parameter estimation using an expectation-maximization algorithm, and performs model selection using the slope heuristics approach.
Lien vers l'élément du SI MIA
https://cran.r-project.org/web/packages/HTSCluster/index.html Informations générales
Statut
À disposition Manuel de référence
https://cran.r-project.org/web/packages/HTSCluster/vignettes/HTSCluster.pdf Suivi
Maintenu Porteur(s)
Unité
MIA-Paris Auteur(s)
Rau Andrea
Celeux Gilles
Martin-Magniette Marie-Laure
Maugis- Rabusseau Cathy
Contact
andrea.rau@jouy.inra.fr
Publication de référence