ERSSA

This is the released version of ERSSA; for the devel version, see ERSSA.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8

Empirical RNA-seq Sample Size Analysis

Bioconductor version: Release (3.23)

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")):

Zixuan Shao. ERSSA: Empirical RNA-seq Sample Size Analysis. doi:10.18129/B9.bioc.ERSSA, R package version 1.30.0, https://bioconductor.org/packages/ERSSA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	DifferentialExpression, GeneExpression, ImmunoOncology, MultipleComparison, QualityControl, RNASeq, Software, Transcription
Version	1.30.0
In Bioconductor since	BioC 3.8 (R-3.5) (8 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), apeglm (>= 1.4.2), grDevices, stats, utils
System Requirements
URL	https://github.com/zshao1/ERSSA

Suggests	BiocStyle, knitr, rmarkdown
Linking To
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Depends On Me
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Build Report	Build Report, r-universe

Package Archives

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

Source Package	ERSSA_1.30.0.tar.gz
Windows Binary (x86_64)	ERSSA_1.30.0.zip
macOS Binary (big-sur-x86_64)	ERSSA_1.30.0.tgz
macOS Binary (sonoma-arm64)	ERSSA_1.30.0.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	https://bioconductor.org/packages/ERSSA/
Package Downloads Report	Download Stats