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).
- Version2.0.11
- R version≥ 2.10.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- HTSCluster citation info
- Last release09/05/2023
Documentation
Team
Andrea Rau
Andrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis- Rabusseau
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- Depends1 package
- Imports6 packages
- Suggests2 packages
- Reverse Imports1 package