HTSCluster

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.