- recipe bioconductor-egsea
Ensemble of Gene Set Enrichment Analyses
- Homepage:
- License:
GPL-3
- Recipe:
- Links:
This package implements the Ensemble of Gene Set Enrichment Analyses (EGSEA) method for gene set testing. EGSEA algorithm utilizes the analysis results of twelve prominent GSE algorithms in the literature to calculate collective significance scores for each gene set.
- package bioconductor-egsea¶
- versions:
1.34.0-0,1.28.0-0,1.26.0-0,1.22.0-0,1.20.0-0,1.18.1-0,1.18.0-0,1.16.0-0,1.14.0-1,1.34.0-0,1.28.0-0,1.26.0-0,1.22.0-0,1.20.0-0,1.18.1-0,1.18.0-0,1.16.0-0,1.14.0-1,1.12.0-1,1.10.0-0,1.8.0-0,1.6.0-0- depends bioconductor-annotationdbi:
>=1.68.0,<1.69.0- depends bioconductor-biobase:
>=2.66.0,<2.67.0- depends bioconductor-edger:
>=4.4.0,<4.5.0- depends bioconductor-egseadata:
>=1.34.0,<1.35.0- depends bioconductor-gage:
>=2.56.0,<2.57.0- depends bioconductor-globaltest:
>=5.60.0,<5.61.0- depends bioconductor-gsva:
>=2.0.0,<2.1.0- depends bioconductor-limma:
>=3.62.0,<3.63.0- depends bioconductor-org.hs.eg.db:
>=3.20.0,<3.21.0- depends bioconductor-org.mm.eg.db:
>=3.20.0,<3.21.0- depends bioconductor-org.rn.eg.db:
>=3.20.0,<3.21.0- depends bioconductor-padog:
>=1.48.0,<1.49.0- depends bioconductor-pathview:
>=1.46.0,<1.47.0- depends bioconductor-safe:
>=3.46.0,<3.47.0- depends bioconductor-topgo:
>=2.58.0,<2.59.0- depends r-base:
>=4.4,<4.5.0a0- depends r-dt:
- depends r-ggplot2:
>=1.0.0- depends r-gplots:
>=2.14.2- depends r-htmlutils:
>=0.1.5- depends r-htmlwidgets:
- depends r-hwriter:
>=1.2.2- depends r-metap:
- depends r-plotly:
- depends r-rcolorbrewer:
- depends r-stringi:
>=0.5.0- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-egsea and update with:: mamba update bioconductor-egsea
To create a new environment, run:
mamba create --name myenvname bioconductor-egsea
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-egsea:<tag> (see `bioconductor-egsea/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-egsea/README.html)
