CancerSubtypes

DOI: 10.18129/B9.bioc.CancerSubtypes    

Cancer subtypes identification, validation and visualization based on multiple genomic data sets

Bioconductor version: Release (3.6)

CancerSubtypes integrates the current common computational biology methods for cancer subtypes identification and provides a standardized framework for cancer subtype analysis based multi-omics data, such as gene expression, miRNA expression, DNA methylation and others.

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

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

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	1.4.0
In Bioconductor since	BioC 3.4 (R-3.3) (1.5 years)
License	GPL (>= 2)
Depends	R (>= 3.4), sigclust, NMF
Imports	SNFtool, iCluster, cluster, impute, limma, ConsensusClusterPlus, grDevices, survival
LinkingTo
Suggests	BiocGenerics, RUnit, knitr, RTCGA.mRNA, RTCGA.clinical
SystemRequirements
Enhances
URL	https://github.com/taoshengxu/CancerSubtypes
BugReports	https://github.com/taoshengxu/CancerSubtypes/issues
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	CancerSubtypes_1.4.0.tar.gz
Windows Binary	CancerSubtypes_1.4.0.zip
Mac OS X 10.11 (El Capitan)	CancerSubtypes_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/CancerSubtypes
Package Short Url	http://bioconductor.org/packages/CancerSubtypes/
Package Downloads Report	Download Stats