- recipe bioconductor-oppar
Outlier profile and pathway analysis in R
- Homepage
- License
GPL-2
- Recipe
- Links
biotools: oppar
The R implementation of mCOPA package published by Wang et al. (2012). Oppar provides methods for Cancer Outlier profile Analysis. Although initially developed to detect outlier genes in cancer studies, methods presented in oppar can be used for outlier profile analysis in general. In addition, tools are provided for gene set enrichment and pathway analysis.
- package bioconductor-oppar¶
-
- Versions
1.22.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.18.0-0
,1.16.0-0
,1.14.0-0
,1.12.0-1
,1.10.0-0
,1.22.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.18.0-0
,1.16.0-0
,1.14.0-0
,1.12.0-1
,1.10.0-0
,1.8.0-0
,1.6.0-0
,1.4.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-gseabase
>=1.56.0,<1.57.0
bioconductor-gsva
>=1.42.0,<1.43.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
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-oppar
and update with:
conda update bioconductor-oppar
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-oppar:<tag>
(see bioconductor-oppar/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-oppar/README.html)