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.
Bioconductor version: 2.14
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("maPredictDSC")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("maPredictDSC")
R Script | maPredictDSC | |
Reference Manual |
biocViews | Classification, Microarray, Software |
Version | 1.2.0 |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | maPredictDSC_1.2.0.tar.gz |
Windows Binary | maPredictDSC_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | maPredictDSC_1.2.0.tgz |
Mac OS X 10.9 (Mavericks) | maPredictDSC_1.2.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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