To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

switchBox

Utilities to train and validate classifiers based on pair switching using the K-Top-Scoring-Pair (KTSP) algorithm

Bioconductor version: Release (3.5)

The package offer different classifiers based on comparisons of pair of features (TSP), using various decision rules (e.g., majority wins principle).

Author: Bahman Afsari <bahman at jhu.edu>, Luigi Marchionni <marchion at jhu.edu>, Wikum Dinalankara <wdinala1 at jhmi.edu>

Maintainer: Bahman Afsari <bahman at jhu.edu>, Luigi Marchionni <marchion at jhu.edu>, Wikum Dinalankara <wdinala1 at jhmi.edu>

Citation (from within R, enter citation("switchBox")):

To install this package, start R and enter:

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

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

browseVignettes("switchBox")

PDF	R Script	Working with the switchBox package
PDF		Reference Manual

biocViews	Classification, Software, StatisticalMethod
Version	1.12.0
In Bioconductor since	BioC 3.0 (R-3.1) (3 years)
License	GPL-2
Depends	R (>= 2.13.1), pROC, gplots
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Source Package	switchBox_1.12.0.tar.gz
Windows Binary	switchBox_1.12.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	switchBox_1.12.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/switchBox
Package Short Url	http://bioconductor.org/packages/switchBox/
Package Downloads Report	Download Stats

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