recipe bioconductor-aims

AIMS : Absolute Assignment of Breast Cancer Intrinsic Molecular Subtype

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/AIMS.html

License:

Artistic-2.0

Recipe:

/bioconductor-aims/meta.yaml

Links:

biotools: aims, doi: 10.1093/jnci/dju357

This package contains the AIMS implementation. It contains necessary functions to assign the five intrinsic molecular subtypes (Luminal A, Luminal B, Her2-enriched, Basal-like, Normal-like). Assignments could be done on individual samples as well as on dataset of gene expression data.

package bioconductor-aims

(downloads) docker_bioconductor-aims

versions:
1.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-01.18.0-0

1.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-01.18.0-01.16.0-11.14.1-01.14.0-01.12.0-01.10.0-01.8.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends r-base:

>=4.3,<4.4.0a0

depends r-e1071:

requirements:

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-aims

and update with::

   mamba update bioconductor-aims

To create a new environment, run:

mamba create --name myenvname bioconductor-aims

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-aims:<tag>

(see `bioconductor-aims/tags`_ for valid values for ``<tag>``)

Download stats