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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. 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]

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Version

Install

install.packages('HTSCluster')

Monthly Downloads

417

Version

2.0.11

License

GPL (>= 3)

Maintainer

Last Published

September 5th, 2023

Functions in HTSCluster (2.0.11)

summary.HTSCluster

Summarize results from clustering using a Poisson mixture model
HTSCluster-package

Clustering high throughput sequencing (HTS) data
highDimensionARI

Calculate ARI for high-dimensional data via data splits
PoisMixMean

Calculate the conditional per-cluster mean of each observation
HTSClusterUsersGuide

View HTSCluster User's Guide
PoisMixSim

Simulate data from a Poisson mixture model
logLikePoisMix

Log likelihood calculation for a Poisson mixture model
probaPost

Calculate the conditional probability of belonging to each cluster in a Poisson mixture model
plot.HTSCluster

Visualize results from clustering using a Poisson mixture model
PoisMixClus

Poisson mixture model estimation and model selection
Init

Parameter initialization for a Poisson mixture model.