To install this package, start R and enter:

## try http if https is not available
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: 3.1

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 is not available
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 R Script DeconRNASeq Demo
PDF   Reference Manual

Details

biocViews DifferentialExpression, Software
Version 1.10.0
In Bioconductor since BioC 2.11 (R-2.15) (3 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_1.10.0.tar.gz
Windows Binary DeconRNASeq_1.10.0.zip
Mac OS X 10.6 (Snow Leopard) DeconRNASeq_1.10.0.tgz
Mac OS X 10.9 (Mavericks) DeconRNASeq_1.10.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DeconRNASeq/tree/release-3.1
Package Short Url http://bioconductor.org/packages/DeconRNASeq/
Package Downloads Report Download Stats

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