 
  
 
   
   This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see DeconRNASeq.
Bioconductor version: 3.13
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 (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("DeconRNASeq")
    For older versions of R, please refer to the appropriate Bioconductor release.
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 | 1.34.0 | 
| In Bioconductor since | BioC 2.11 (R-2.15) (9 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 | ADAPTS | 
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | DeconRNASeq_1.34.0.tar.gz | 
| Windows Binary | DeconRNASeq_1.34.0.zip (32- & 64-bit) | 
| macOS 10.13 (High Sierra) | DeconRNASeq_1.34.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/DeconRNASeq | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DeconRNASeq | 
| Package Short Url | https://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: