recipe bioconductor-cancerclass

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

Homepage:

https://bioconductor.org/packages/3.16/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

(downloads) docker_bioconductor-cancerclass

Versions:
1.42.0-01.38.0-21.38.0-11.38.0-01.36.0-01.34.0-11.34.0-01.32.0-01.30.0-0

1.42.0-01.38.0-21.38.0-11.38.0-01.36.0-01.34.0-11.34.0-01.32.0-01.30.0-01.28.0-11.26.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-cancerclass

and update with:

conda update bioconductor-cancerclass

or 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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