Package: cancerclass
Type: Package
Version: 1.57.0
Date: 2011-10-26
Title: Development and validation of diagnostic tests from
        high-dimensional molecular data
Author: Jan Budczies, Daniel Kosztyla
Maintainer: Daniel Kosztyla <danielkossi@hotmail.com>
Description: 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.
Depends: R (>= 2.14.0), Biobase, binom, methods, stats
Suggests: cancerdata
License: GPL 3
biocViews: Cancer, Microarray, Classification, Visualization
Collate: validation-class.R nvalidation-class.R prediction-class.R
        predictor-class.R cancerclass-internal.R fit.R loo.R
        nvalidate.R plot3d_nvalidation.R plot3d_validation.R
        plot_nvalidation.R plot_prediction.R plot_predictor.R
        plot_validation.R predict_predictor.R summary_prediction.R
        validate.R
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:36:31 UTC
RemoteUrl: https://github.com/bioc/cancerclass
RemoteRef: HEAD
RemoteSha: 365b9c6dcf1301786e77563b8a6e2c42d41b5200
NeedsCompilation: yes
Packaged: 2026-07-15 05:23:56 UTC; root