To install this package, start R and enter:

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

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

maPredictDSC

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see maPredictDSC.

Phenotype prediction using microarray data: approach of the best overall team in the IMPROVER Diagnostic Signature Challenge

Bioconductor version: 3.4

This package implements the classification pipeline of the best overall team (Team221) in the IMPROVER Diagnostic Signature Challenge. Additional functionality is added to compare 27 combinations of data preprocessing, feature selection and classifier types.

Author: Adi Laurentiu Tarca <atarca at med.wayne.edu>

Maintainer: Adi Laurentiu Tarca <atarca at med.wayne.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("maPredictDSC")

PDF	R Script	maPredictDSC
PDF		Reference Manual

Details

biocViews	Classification, Microarray, Software
Version	1.12.0
In Bioconductor since	BioC 2.13 (R-3.0) (3.5 years)
License	GPL-2
Depends	R (>= 2.15.0), MASS, affy, limma, gcrma, ROC, class, e1071, caret, hgu133plus2.db, ROCR, AnnotationDbi, LungCancerACvsSCCGEO
Imports
LinkingTo
Suggests	parallel
SystemRequirements
Enhances
URL	http://bioinformaticsprb.med.wayne.edu/maPredictDSC
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Package Source	maPredictDSC_1.12.0.tar.gz
Windows Binary	maPredictDSC_1.12.0.zip
Mac OS X 10.9 (Mavericks)	maPredictDSC_1.12.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/maPredictDSC/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/maPredictDSC/
Package Downloads Report	Download Stats

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