- 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:
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:
1.50.0-0
,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
,1.50.0-0
,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:
>=2.66.0,<2.67.0
- depends bioconductor-biobase:
>=2.66.0,<2.67.0a0
- depends libblas:
>=3.9.0,<4.0a0
- depends libgcc:
>=13
- depends liblapack:
>=3.9.0,<4.0a0
- depends r-base:
>=4.4,<4.5.0a0
- depends r-binom:
- 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-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>``)
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-cancerclass/README.html)