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

/bioconductor-phenotest/meta.yaml

package bioconductor-phenotest

(downloads) docker_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>)