-
recipe
bioconductor-phenotest¶ Tools to test correlation between gene expression and phenotype in a way that is efficient, structured, fast and scalable. GSEA is also provided.
- Homepage
https://bioconductor.org/packages/3.9/bioc/html/phenoTest.html
- License
GPL (>=2)
- Recipe
-
package
bioconductor-phenotest¶ 
- Versions
1.30.0-0
- Depends bioconductor-annotate
>=1.60.0,<1.61.0
- Depends bioconductor-annotationdbi
>=1.44.0,<1.45.0
- Depends bioconductor-biobase
>=2.42.0,<2.43.0
- Depends bioconductor-biomart
>=2.38.0,<2.39.0
- Depends bioconductor-category
>=2.48.0,<2.49.0
- Depends bioconductor-genefilter
>=1.64.0,<1.65.0
- Depends bioconductor-gseabase
>=1.44.0,<1.45.0
- Depends bioconductor-heatplus
>=2.28.0,<2.29.0
- Depends bioconductor-hgu133a.db
>=3.2.0,<3.3.0
- Depends bioconductor-hopach
>=2.42.0,<2.43.0
- Depends bioconductor-htsanalyzer
>=2.34.0,<2.35.0
- Depends bioconductor-limma
>=3.38.0,<3.39.0
- Depends bioconductor-snpchip
>=2.28.0,<2.29.0
- Depends r-base
>=3.5.1,<3.5.2.0a0
- Depends r-bma
- Depends r-ellipse
- Depends r-ggplot2
- Depends r-gplots
- Depends r-hmisc
- Depends r-mgcv
- Depends r-survival
- Depends r-xtable
- Requirements
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-phenotest
and update with:
conda update bioconductor-phenotest
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-phenotest:<tag>
(see bioconductor-phenotest/tags for valid values for
<tag>)
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-phenotest/README.html)