HTSCluster (1.1)

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Clustering high throughput sequencing (HTS) data.

http://cran.r-project.org/web/packages/HTSCluster

This package implements two parameterizations of 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 BIC or ICL criteria are used for model selection (i.e., to choose the number of clusters).

Maintainer: Andrea Rau
Author(s): Andrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau

License: GPL (>= 3)

Uses: plotrix

Released 12 months ago.


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