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HTSCluster: 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).
Getting started
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Package details |
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| Author | Andrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis- Rabusseau |
| Maintainer | Andrea Rau <andrea.rau@jouy.inra.fr> |
| License | GPL (>=3) |
| Version | 2.0.8 |
| Package repository | View on R-Forge |
| Installation |
Install the latest version of this package by entering the following in R:
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