- recipe bioconductor-phenotest
Tools to test association between gene expression and phenotype in a way that is efficient, structured, fast and scalable. We also provide tools to do GSEA (Gene set enrichment analysis) and copy number variation.
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/phenoTest.html
- License
GPL (>=2)
- Recipe
Tools to test correlation between gene expression and phenotype in a way that is efficient, structured, fast and scalable. GSEA is also provided.
- package bioconductor-phenotest¶
-
- Versions
1.42.0-0
,1.40.0-0
,1.38.0-1
,1.38.0-0
,1.36.0-0
,1.34.0-0
,1.32.0-1
,1.30.0-0
- Depends
bioconductor-annotate
>=1.72.0,<1.73.0
bioconductor-annotationdbi
>=1.56.0,<1.57.0
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biomart
>=2.50.0,<2.51.0
bioconductor-category
>=2.60.0,<2.61.0
bioconductor-genefilter
>=1.76.0,<1.77.0
bioconductor-gseabase
>=1.56.0,<1.57.0
bioconductor-heatplus
>=3.2.0,<3.3.0
bioconductor-hgu133a.db
>=3.13.0,<3.14.0
bioconductor-hopach
>=2.54.0,<2.55.0
bioconductor-limma
>=3.50.0,<3.51.0
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-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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-phenotest/README.html)