To install this package, start R and enter:

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

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

maPredictDSC

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

Bioconductor version: Release (3.0)

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:

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 1.4.0
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_1.4.0.tar.gz
Windows Binary maPredictDSC_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) maPredictDSC_1.4.0.tgz
Mac OS X 10.9 (Mavericks) maPredictDSC_1.4.0.tgz
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