To install this package, start R and enter:

source("http://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: 2.14

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:

source("http://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, ExperimentData, Software
Version 1.6.0
In Bioconductor since BioC 2.11 (R-2.15)
License GPL-2
Depends R (>= 2.14.0), limSolve, pcaMethods, ggplot2, grid
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source DeconRNASeq_1.6.0.tar.gz
Windows Binary DeconRNASeq_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) DeconRNASeq_1.6.0.tgz
Mac OS X 10.9 (Mavericks) DeconRNASeq_1.6.0.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center