recipe bioconductor-cytokernel

Differential expression using kernel-based score test

Homepage

https://bioconductor.org/packages/3.14/bioc/html/cytoKernel.html

License

GPL-3

Recipe

/bioconductor-cytokernel/meta.yaml

cytoKernel implements a kernel-based score test to identify differentially expressed features in high-dimensional biological experiments. This approach can be applied across many different high-dimensional biological data including gene expression data and dimensionally reduced cytometry-based marker expression data. In this R package, we implement functions that compute the feature-wise p values and their corresponding adjusted p values. Additionally, it also computes the feature-wise shrunk effect sizes and their corresponding shrunken effect size. Further, it calculates the percent of differentially expressed features and plots user-friendly heatmap of the top differentially expressed features on the rows and samples on the columns.

package bioconductor-cytokernel

(downloads) docker_bioconductor-cytokernel

Versions

1.0.0-11.0.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-cytokernel

and update with:

conda update bioconductor-cytokernel

or use the docker container:

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

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

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