ERSSA

DOI: 10.18129/B9.bioc.ERSSA    

Empirical RNA-seq Sample Size Analysis

Bioconductor version: Release (3.8)

The ERSSA package takes user supplied RNA-seq differential expression dataset and calculates the number of differentially expressed genes at varying biological replicate levels. This allows the user to determine, without relying on any a priori assumptions, whether sufficient differential detection has been acheived with their RNA-seq dataset.

Author: Zixuan Shao [aut, cre]

Maintainer: Zixuan Shao <Zixuanshao.zach at gmail.com>

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

Installation

To install this package, start R and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("ERSSA", version = "3.8")

Documentation

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

browseVignettes("ERSSA")

 

HTML R Script ERSSA Package Introduction
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews DifferentialExpression, GeneExpression, MultipleComparison, QualityControl, RNASeq, Software, Transcription
Version 1.0.0
License GPL-3 | file LICENSE
Depends R (>= 3.5.0)
Imports edgeR(>= 3.23.3), DESeq2(>= 1.21.16), ggplot2 (>= 3.0.0), RColorBrewer (>= 1.1-2), plyr (>= 1.8.4), BiocParallel(>= 1.15.8), grDevices, stats, utils
LinkingTo
Suggests BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL https://github.com/zshao1/ERSSA
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package ERSSA_1.0.0.tar.gz
Windows Binary ERSSA_1.0.0.zip
Mac OS X 10.11 (El Capitan) ERSSA_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ERSSA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ERSSA
Package Short Url http://bioconductor.org/packages/ERSSA/
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: