ERSSA

DOI: 10.18129/B9.bioc.ERSSA  

This is the development version of ERSSA; for the stable release version, see ERSSA.

Empirical RNA-seq Sample Size Analysis

Bioconductor version: Development (3.18)

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 "4.3") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ERSSA")

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

Documentation

PDF   Reference Manual

Details

biocViews DifferentialExpression, GeneExpression, ImmunoOncology, MultipleComparison, QualityControl, RNASeq, Software, Transcription
Version 1.19.0
In Bioconductor since BioC 3.8 (R-3.5) (4.5 years)
License GPL-3 | file LICENSE
Depends R (>= 4.0.0)
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
Windows Binary ERSSA_1.19.0.zip
macOS Binary (x86_64) ERSSA_1.19.0.tgz
macOS Binary (arm64)
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

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