ERSSA

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see ERSSA.

Empirical RNA-seq Sample Size Analysis


Bioconductor version: 3.9

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 (version "3.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ERSSA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("ERSSA")
ERSSA Package Introduction HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DifferentialExpression, GeneExpression, ImmunoOncology, MultipleComparison, QualityControl, RNASeq, Software, Transcription
Version 1.2.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
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
System Requirements
URL https://github.com/zshao1/ERSSA
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Package Archives

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

Source Package ERSSA_1.2.0.tar.gz
Windows Binary ERSSA_1.2.0.zip
Mac OS X 10.11 (El Capitan) ERSSA_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ERSSA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ERSSA
Bioc Package Browser https://code.bioconductor.org/browse/ERSSA/
Package Short Url https://bioconductor.org/packages/ERSSA/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive