ClassifyR

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see ClassifyR.

A framework for two-class classification problems, with applications to differential variability and differential distribution testing

Bioconductor version: 3.2

The software formalises a framework for classification in R. There are four stages. Data transformation, feature selection, classifier training, and prediction. The requirements of variable types and names are fixed, but specialised variables for functions can also be provided. The classification framework is wrapped in a driver loop, that reproducibly carries out a number of cross-validation schemes. Functions for differential expression, differential variability, and differential distribution are included. Additional functions may be developed by the user, by creating an interface to the framework.

Author: Dario Strbenac, John Ormerod, Graham Mann, Jean Yang

Maintainer: Dario Strbenac <dario.strbenac at sydney.edu.au>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ClassifyR")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ClassifyR")

Details

Package Archives

Follow Installation instructions to use this package in your R session.