source("http://bioconductor.org/biocLite.R")
biocLite("maPredictDSC")

maPredictDSC

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

Bioconductor version: 2.13

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>

Installation

To install this package, start R and enter:

source("http://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	1.0.0
In Bioconductor since	BioC 2.13 (R-3.0)
License	GPL-2
Depends	R (>= 2.15.0), MASS, affy, limma, gcrma, ROC, class, e1071, caret, hgu133plus2.db, ROCR, AnnotationDbi, LungCancerACvsSCCGEO
Imports
Suggests	parallel
System Requirements
URL	http://bioinformaticsprb.med.wayne.edu/maPredictDSC
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source	maPredictDSC_1.0.0.tar.gz
Windows Binary	maPredictDSC_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	maPredictDSC_1.0.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats