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HTSCluster (version 2.0.3)
Clustering high throughput sequencing (HTS) data
Description
This package implements a Poisson mixture model to cluster observations (e.g., genes) in high throughput sequencing data. Parameter estimation is performed using either the EM or CEM algorithm, and the ICL criterion is used for model selection (i.e., to choose the number of clusters).