- recipe bioconductor-opossom
Comprehensive analysis of transcriptome data
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/oposSOM.html
- License:
GPL (>=2)
- Recipe:
This package translates microarray expression data into metadata of reduced dimension. It provides various sample-centered and group-centered visualizations, sample similarity analyses and functional enrichment analyses. The underlying SOM algorithm combines feature clustering, multidimensional scaling and dimension reduction, along with strong visualization capabilities. It enables extraction and description of functional expression modules inherent in the data.
- package bioconductor-opossom¶
- versions:
2.24.0-0
,2.20.0-0
,2.18.0-0
,2.16.0-1
,2.16.0-0
,2.12.0-2
,2.12.0-1
,2.12.0-0
,2.10.0-0
,2.24.0-0
,2.20.0-0
,2.18.0-0
,2.16.0-1
,2.16.0-0
,2.12.0-2
,2.12.0-1
,2.12.0-0
,2.10.0-0
,2.8.0-1
,2.8.0-0
,2.6.0-0
,2.4.0-0
,2.2.0-1
,2.0.0-0
- depends bioconductor-biobase:
>=2.66.0,<2.67.0
- depends bioconductor-biobase:
>=2.66.0,<2.67.0a0
- depends bioconductor-biomart:
>=2.62.0,<2.63.0
- depends bioconductor-biomart:
>=2.62.0,<2.63.0a0
- depends bioconductor-graph:
>=1.84.0,<1.85.0
- depends bioconductor-graph:
>=1.84.0,<1.85.0a0
- depends libblas:
>=3.9.0,<4.0a0
- depends libgcc:
>=13
- depends liblapack:
>=3.9.0,<4.0a0
- depends libstdcxx:
>=13
- depends r-ape:
- depends r-base:
>=4.4,<4.5.0a0
- depends r-fastica:
- depends r-fdrtool:
- depends r-igraph:
>=1.0.0
- depends r-pixmap:
- depends r-png:
- depends r-rcpp:
- depends r-rcppparallel:
- depends r-rcurl:
- depends r-scatterplot3d:
- depends r-tsne:
- depends r-xml:
- 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-opossom and update with:: mamba update bioconductor-opossom
To create a new environment, run:
mamba create --name myenvname bioconductor-opossom
with
myenvname
being 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-opossom:<tag> (see `bioconductor-opossom/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-opossom/README.html)