recipe bioconductor-caen

Category encoding method for selecting feature genes for the classification of single-cell RNA-seq

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/CAEN.html

License:

GPL-2

Recipe:

/bioconductor-caen/meta.yaml

With the development of high-throughput techniques, more and more gene expression analysis tend to replace hybridization-based microarrays with the revolutionary technology.The novel method encodes the category again by employing the rank of samples for each gene in each class. We then consider the correlation coefficient of gene and class with rank of sample and new rank of category. The highest correlation coefficient genes are considered as the feature genes which are most effective to classify the samples.

package bioconductor-caen

(downloads) docker_bioconductor-caen

Versions:

1.6.0-01.2.0-01.0.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-caen

and update with:

conda update bioconductor-caen

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-caen:<tag>

(see bioconductor-caen/tags for valid values for <tag>)

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