Crandore Hub

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).

README

## *HTSCluster*: Clustering High-Throughput Transcriptome Sequencing (HTS) Data with Poisson Mixture Models

This is the development version of the *HTSCluster* R package. The current, stable version of *HTSCluster* is available on the [CRAN](https://CRAN.R-project.org/package=HTSCluster). If you make use of *HTSCluster* in your work, please cite our paper:

Rau, A., Maugis-Rabusseau, C., Martin-Magniette, M.-L., Celeux, G. (2015) Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models. *Bioinformatic*, 31(9): 1420-1427.  [[link]](https://academic.oup.com/bioinformatics/article-abstract/31/9/1420/200490)

Versions across snapshots

VersionRepositoryFileSize
2.0.11 rolling linux/jammy R-4.5 HTSCluster_2.0.11.tar.gz 379.7 KiB
2.0.11 rolling linux/noble R-4.5 HTSCluster_2.0.11.tar.gz 379.7 KiB
2.0.11 rolling source/ R- HTSCluster_2.0.11.tar.gz 379.7 KiB
2.0.11 latest linux/jammy R-4.5 HTSCluster_2.0.11.tar.gz 379.7 KiB
2.0.11 latest linux/noble R-4.5 HTSCluster_2.0.11.tar.gz 379.7 KiB
2.0.11 latest source/ R- HTSCluster_2.0.11.tar.gz 379.7 KiB
2.0.11 2026-04-26 source/ R- HTSCluster_2.0.11.tar.gz 379.7 KiB
2.0.11 2026-04-23 source/ R- HTSCluster_2.0.11.tar.gz 379.7 KiB
2.0.11 2025-04-20 source/ R- HTSCluster_2.0.11.tar.gz 379.7 KiB

Dependencies (latest)

Imports

Suggests