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HTSCluster (version 2.0.0)

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).

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Install

install.packages('HTSCluster')

Monthly Downloads

353

Version

2.0.0

License

GPL (>= 3)

Maintainer

Last Published

September 25th, 2013

Functions in HTSCluster (2.0.0)