recipe bioconductor-consensusov

Gene expression-based subtype classification for high-grade serous ovarian cancer

Homepage

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

License

Artistic-2.0

Recipe

/bioconductor-consensusov/meta.yaml

This package implements four major subtype classifiers for high-grade serous (HGS) ovarian cancer as described by Helland et al. (PLoS One, 2011), Bentink et al. (PLoS One, 2012), Verhaak et al. (J Clin Invest, 2013), and Konecny et al. (J Natl Cancer Inst, 2014). In addition, the package implements a consensus classifier, which consolidates and improves on the robustness of the proposed subtype classifiers, thereby providing reliable stratification of patients with HGS ovarian tumors of clearly defined subtype.

package bioconductor-consensusov

Versions

1.16.0-0,  1.14.0-0,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.4.1-0,  1.2.0-0, 

1.16.0-0,  1.14.0-0,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.4.1-0,  1.2.0-0,  1.0.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-genefu >=2.26.0,<2.27.0

• bioconductor-gsva >=1.42.0,<1.43.0

• bioconductor-limma >=3.50.0,<3.51.0

• r-base >=4.1,<4.2.0a0

• r-gdata

• r-matrixstats

• r-randomforest

Required By

Installation

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

conda install bioconductor-consensusov

and update with:

conda update bioconductor-consensusov

or use the docker container:

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

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

Download stats

Link to this page

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[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-consensusov/README.html)