To install this package, start R and enter:

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

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

CancerSubtypes

 

Cancer subtypes identification, validation and visualization based on genomic data

Bioconductor version: Release (3.5)

CancerSubtypes integrates the current common computational biology methods for cancer subtypes identification and provides a standardized framework for cancer subtype analysis based on the genomic datasets.

Author: Taosheng Xu<taosheng.x at gmail.com>, Thuc Le<Thuc.Le at unisa.edu.au>

Maintainer: Taosheng Xu<taosheng.x at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

HTML R Script CancerSubtypes
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, GeneExpression, Software, Visualization
Version 1.2.3
In Bioconductor since BioC 3.4 (R-3.3) (1 year)
License GPL (>= 2)
Depends R (>= 3.4), sigclust, NMF
Imports SNFtool, iCluster, survival, cluster, impute, limma, ConsensusClusterPlus, grDevices
LinkingTo
Suggests BiocGenerics, knitr, RTCGA.mRNA, RTCGA.clinical
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source CancerSubtypes_1.2.3.tar.gz
Windows Binary CancerSubtypes_1.2.3.zip
Mac OS X 10.11 (El Capitan) CancerSubtypes_1.2.3.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/CancerSubtypes/tree/release-3.5
Package Short Url http://bioconductor.org/packages/CancerSubtypes/
Package Downloads Report Download Stats

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