ERSSA
Empirical RNA-seq Sample Size Analysis
Bioconductor version: Release (3.19)
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("ERSSA")
):
Installation
To install this package, start R (version "4.4") 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 | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | DifferentialExpression, GeneExpression, ImmunoOncology, MultipleComparison, QualityControl, RNASeq, Software, Transcription |
Version | 1.22.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (6 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 |
See More
Suggests | BiocStyle, knitr, rmarkdown |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | ERSSA_1.22.0.tar.gz |
Windows Binary (x86_64) | ERSSA_1.22.0.zip |
macOS Binary (x86_64) | ERSSA_1.22.0.tgz |
macOS Binary (arm64) | ERSSA_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ERSSA |
Source Repository (Developer Access) | git clone [email protected]:packages/ERSSA |
Bioc Package Browser | https://code.bioconductor.org/browse/ERSSA/ |
Package Short Url | https://bioconductor.org/packages/ERSSA/ |
Package Downloads Report | Download Stats |