To install this package, start R and enter:

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

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

DeconRNASeq

   

Deconvolution of Heterogeneous Tissue Samples for mRNA-Seq data

Bioconductor version: 3.2

DeconSeq is an R package for deconvolution of heterogeneous tissues based on mRNA-Seq data. It modeled expression levels from heterogeneous cell populations in mRNA-Seq as the weighted average of expression from different constituting cell types and predicted cell type proportions of single expression profiles.

Author: Ting Gong <tinggong at gmail.com> Joseph D. Szustakowski <joseph.szustakowski at novartis.com>

Maintainer: Ting Gong <tinggong at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DeconRNASeq")

 

PDF DeconRNASeq Demo
PDF   Reference Manual

Details

biocViews DifferentialExpression, Software
Version 1.12.0
In Bioconductor since BioC 2.11 (R-2.15) (3.5 years)
License GPL-2
Depends R (>= 2.14.0), limSolve, pcaMethods, ggplot2, grid
Imports
LinkingTo
Suggests
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 DeconRNASeq_1.12.0.tar.gz
Windows Binary DeconRNASeq_1.12.0.zip
Mac OS X 10.6 (Snow Leopard) DeconRNASeq_1.12.0.tgz
Mac OS X 10.9 (Mavericks) DeconRNASeq_1.12.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DeconRNASeq/tree/release-3.2
Package Short Url http://bioconductor.org/packages/DeconRNASeq/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center