HTSCluster 2.0.8
:: DESCRIPTION
HTSCluster 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 slope heuristics are used for model selection (i.e., to choose the number of clusters).
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::DEVELOPER
Andrea Rau <andrea.rau at jouy.inra.fr>
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux/ Windows/ MacOsX
- R
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models.
Rau A, Maugis-Rabusseau C, Martin-Magniette ML, Celeux G.
Bioinformatics. 2015 Jan 5. pii: btu845.