To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PROPER")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
This package provide simulation based methods for evaluating the statistical power in differential expression analysis from RNA-seq data.
Author: Hao Wu
Maintainer: Hao Wu <hao.wu at emory.edu>
Citation (from within R,
enter citation("PROPER")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PROPER")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PROPER")
Power and Sample size analysis for gene expression from RNA-seq | ||
Reference Manual |
biocViews | DifferentialExpression, RNASeq, Sequencing, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (1 year) |
License | GPL |
Depends | R (>= 2.10) |
Imports | edgeR |
LinkingTo | |
Suggests | BiocStyle, DESeq, DSS |
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 | PROPER_1.2.0.tar.gz |
Windows Binary | PROPER_1.2.0.zip |
Mac OS X 10.6 (Snow Leopard) | PROPER_1.2.0.tgz |
Mac OS X 10.9 (Mavericks) | PROPER_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/PROPER/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/PROPER/ |
Package Downloads Report | Download Stats |
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