- recipe bioconductor-suitor
Selecting the number of mutational signatures through cross-validation
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/SUITOR.html
- License:
GPL-2
- Recipe:
An unsupervised cross-validation method to select the optimal number of mutational signatures. A data set of mutational counts is split into training and validation data.Signatures are estimated in the training data and then used to predict the mutations in the validation data.
- package bioconductor-suitor¶
- versions:
1.4.0-0,1.2.0-0,1.0.0-1,1.0.0-0- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0a0- depends libblas:
>=3.9.0,<4.0a0- depends libgcc-ng:
>=12- depends liblapack:
>=3.9.0,<4.0a0- depends r-base:
>=4.3,<4.4.0a0- depends r-ggplot2:
- 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-suitor and update with:: mamba update bioconductor-suitor
To create a new environment, run:
mamba create --name myenvname bioconductor-suitor
with
myenvnamebeing 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-suitor:<tag> (see `bioconductor-suitor/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-suitor/README.html)
