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.
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Bioconductor version: Release (3.3)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("DeconRNASeq")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DeconRNASeq")
R Script | DeconRNASeq Demo | |
Reference Manual |
biocViews | DifferentialExpression, Software |
Version | 1.14.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (4 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 |
Follow Installation instructions to use this package in your R session.
Package Source | DeconRNASeq_1.14.0.tar.gz |
Windows Binary | DeconRNASeq_1.13.0.zip |
Mac OS X 10.9 (Mavericks) | DeconRNASeq_1.14.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/DeconRNASeq/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/DeconRNASeq/ |
Package Downloads Report | Download Stats |
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