recipe r-htscluster

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).

Homepage:

https://CRAN.R-project.org/package=HTSCluster

License:

GPL3 / GPL (>= 3)

Recipe:

/r-htscluster/meta.yaml

package r-htscluster

(downloads) docker_r-htscluster

Versions:

2.0.8-52.0.8-42.0.8-32.0.8-12.0.8-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install r-htscluster

and update with:

conda update r-htscluster

or use the docker container:

docker pull quay.io/biocontainers/r-htscluster:<tag>

(see r-htscluster/tags for valid values for <tag>)

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