To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("RnaSeqSampleSize")

In most cases, you don't need to download the package archive at all.

RnaSeqSampleSize

RnaSeqSampleSize

Bioconductor version: 3.1

RnaSeqSampleSize package provides a sample size calculation method based on negative binomial model and the exact test for assessing differential expression analysis of RNA-seq data

Author: Shilin Zhao, Chung-I Li, Yan Guo, Quanhu Sheng, Yu Shyr

Maintainer: Shilin Zhao <zhaoshilin at gmail.com>

Citation (from within R, enter citation("RnaSeqSampleSize")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("RnaSeqSampleSize")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RnaSeqSampleSize")

 

PDF R Script RnaSeqSampleSize: Sample size estimation by real data
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, ExperimentalDesign, GeneExpression, RNASeq, Sequencing, Software
Version 1.0.0
In Bioconductor since BioC 3.1 (R-3.2) (< 6 months)
License GPL (>= 2)
Depends R (>= 2.10), RnaSeqSampleSizeData
Imports biomaRt, edgeR, heatmap3, matlab, KEGGREST, Rcpp (>= 0.11.2)
LinkingTo Rcpp
Suggests BiocStyle, knitr
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 RnaSeqSampleSize_1.0.0.tar.gz
Windows Binary RnaSeqSampleSize_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) RnaSeqSampleSize_1.0.0.tgz
Mac OS X 10.9 (Mavericks) RnaSeqSampleSize_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/RnaSeqSampleSize/tree/release-3.1
Package Short Url http://bioconductor.org/packages/RnaSeqSampleSize/
Package Downloads Report Download Stats

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