- recipe bioconductor-cancerclass
Development and validation of diagnostic tests from high-dimensional molecular data
- Homepage
https://bioconductor.org/packages/3.14/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
1.38.0-1
,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
- Required By
Installation
With an activated Bioconda channel (see 2. 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-cancerclass/README.html)