HTSCluster (2.0.8)

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Clustering High-Throughput Transcriptome Sequencing (HTS) Data.

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).

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

License: GPL (>= 3)

Uses: capushe, plotrix

Released over 3 years ago.

6 previous versions



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