- recipe bioconductor-gsean
Gene Set Enrichment Analysis with Networks
- Homepage:
- License:
Artistic-2.0
- Recipe:
Biological molecules in a living organism seldom work individually. They usually interact each other in a cooperative way. Biological process is too complicated to understand without considering such interactions. Thus, network-based procedures can be seen as powerful methods for studying complex process. However, many methods are devised for analyzing individual genes. It is said that techniques based on biological networks such as gene co-expression are more precise ways to represent information than those using lists of genes only. This package is aimed to integrate the gene expression and biological network. A biological network is constructed from gene expression data and it is used for Gene Set Enrichment Analysis.
- package bioconductor-gsean¶
-
- Versions:
1.18.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.10.0-0
,1.8.0-0
,1.6.0-0
,1.4.0-1
,1.2.0-0
- Depends:
bioconductor-fgsea
>=1.24.0,<1.25.0
bioconductor-ppinfer
>=1.24.0,<1.25.0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-gsean
and update with:
conda update bioconductor-gsean
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-gsean:<tag>
(see bioconductor-gsean/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
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