To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("DeSousa2013")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
This package reproduces the main pipeline to analyze the AMC-AJCCII-90 microarray data set in De Sousa et al. accepted by Nature Medicine in 2013.
Author: Xin Wang <Xin.Wang at cruk.cam.ac.uk>
Maintainer: Xin Wang <Xin.Wang at cruk.cam.ac.uk>
Citation (from within R,
enter citation("DeSousa2013")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("DeSousa2013")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DeSousa2013")
R Script | Main vignette:Poor prognosis colon cancer is defined by a molecular distinct subtype and develops from serrated precursor lesions | |
Reference Manual |
biocViews | CancerData, ColonCancerData, ExperimentData, MicroarrayData |
Version | 1.4.0 |
License | Artistic-2.0 |
Depends | R (>= 2.15) |
Imports | affy, frma, frmaTools, hgu133plus2.db, hgu133plus2frmavecs, sva, rgl, ConsensusClusterPlus, cluster, siggenes, ROCR, pamr, survival, gplots, AnnotationDbi, Biobase |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | DeSousa2013_1.4.0.tar.gz |
Windows Binary | |
Mac OS X 10.6 (Snow Leopard) | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Package Short Url | http://bioconductor.org/packages/DeSousa2013/ |
Package Downloads Report | Download Stats |
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