cancerclass: Development and validation of diagnostic tests from high-dimensional molecular data
Version 1.20.0

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 details

AuthorJan Budczies, Daniel Kosztyla
Bioconductor views Cancer Classification Microarray Visualization
MaintainerDaniel Kosztyla <[email protected]>
LicenseGPL 3
Version1.20.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("cancerclass")

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cancerclass documentation built on May 31, 2017, 2:50 p.m.