recipe bioconductor-cancerclass

Development and validation of diagnostic tests from high-dimensional molecular data

Homepage:

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

License:

GPL 3

Recipe:

/bioconductor-cancerclass/meta.yaml

The classification protocol starts with a feature selection step and continues with nearest-centroid classification. The accurarcy of the predictor can be evaluated using training and test set validation, leave-one-out cross-validation or in a multiple random validation protocol. Methods for calculation and visualization of continuous prediction scores allow to balance sensitivity and specificity and define a cutoff value according to clinical requirements.

package bioconductor-cancerclass

versions:

1.46.0-0,  1.44.0-0,  1.42.0-1,  1.42.0-0,  1.38.0-2,  1.38.0-1,  1.38.0-0,  1.36.0-0,  1.34.0-1, 

1.46.0-0,  1.44.0-0,  1.42.0-1,  1.42.0-0,  1.38.0-2,  1.38.0-1,  1.38.0-0,  1.36.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.26.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-biobase:

>=2.62.0,<2.63.0a0

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-binom:

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-cancerclass

and update with::

   mamba update bioconductor-cancerclass

To create a new environment, run:

mamba create --name myenvname bioconductor-cancerclass

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-cancerclass:<tag>

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

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Link to this page

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