- recipe bioconductor-mineica
Analysis of an ICA decomposition obtained on genomics data
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/MineICA.html
- License:
GPL-2
- Recipe:
- Links:
biotools: mineica, doi: 10.1155/2014/213656
The goal of MineICA is to perform Independent Component Analysis (ICA) on multiple transcriptome datasets, integrating additional data (e.g molecular, clinical and pathological). This Integrative ICA helps the biological interpretation of the components by studying their association with variables (e.g sample annotations) and gene sets, and enables the comparison of components from different datasets using correlation-based graph.
- package bioconductor-mineica¶
-
- Versions:
1.38.0-0
,1.34.0-0
,1.32.0-0
,1.30.0-1
,1.30.0-0
,1.28.0-0
,1.26.0-0
,1.24.0-1
,1.22.0-0
,1.38.0-0
,1.34.0-0
,1.32.0-0
,1.30.0-1
,1.30.0-0
,1.28.0-0
,1.26.0-0
,1.24.0-1
,1.22.0-0
,1.18.0-0
- Depends:
bioconductor-annotate
>=1.76.0,<1.77.0
bioconductor-annotationdbi
>=1.60.0,<1.61.0
bioconductor-biobase
>=2.58.0,<2.59.0
bioconductor-biocgenerics
>=0.44.0,<0.45.0
bioconductor-biomart
>=2.54.0,<2.55.0
bioconductor-gostats
>=2.64.0,<2.65.0
bioconductor-graph
>=1.76.0,<1.77.0
bioconductor-lumi
>=2.50.0,<2.51.0
bioconductor-lumihumanall.db
>=1.22.0,<1.23.0
bioconductor-marray
>=1.76.0,<1.77.0
bioconductor-rgraphviz
>=2.42.0,<2.43.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-mineica
and update with:
conda update bioconductor-mineica
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-mineica:<tag>
(see bioconductor-mineica/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-mineica/README.html)