recipe bioconductor-oppar

Outlier profile and pathway analysis in R

Homepage

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

License

GPL-2

Recipe

/bioconductor-oppar/meta.yaml

Links

biotools: oppar

The R implementation of mCOPA package published by Wang et al. (2012). Oppar provides methods for Cancer Outlier profile Analysis. Although initially developed to detect outlier genes in cancer studies, methods presented in oppar can be used for outlier profile analysis in general. In addition, tools are provided for gene set enrichment and pathway analysis.

package bioconductor-oppar

Versions

1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0, 

1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-gseabase >=1.56.0,<1.57.0

• bioconductor-gsva >=1.42.0,<1.43.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• r-base >=4.1,<4.2.0a0

Required By

Installation

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

conda install bioconductor-oppar

and update with:

conda update bioconductor-oppar

or use the docker container:

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

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

Download stats

Link to this page

Render an badge with the following MarkDown:

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