pepStat
This is the development version of pepStat; for the stable release version, see pepStat.
Statistical analysis of peptide microarrays
Bioconductor version: Development (3.21)
Statistical analysis of peptide microarrays
Author: Raphael Gottardo, Gregory C Imholte, Renan Sauteraud, Mike Jiang
Maintainer: Gregory C Imholte <gimholte at uw.edu>
Citation (from within R, enter
citation("pepStat")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("pepStat")
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("pepStat")
Full peptide microarray analysis | R Script | |
Reference Manual |
Details
biocViews | Microarray, Preprocessing, Software |
Version | 1.41.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (10 years) |
License | Artistic-2.0 |
Depends | R (>= 3.0.0), Biobase, IRanges |
Imports | limma, fields, GenomicRanges, ggplot2, plyr, tools, methods, data.table |
System Requirements | |
URL | https://github.com/RGLab/pepStat |
See More
Suggests | pepDat, Pviz, knitr, shiny |
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 | pepStat_1.41.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/pepStat |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pepStat |
Bioc Package Browser | https://code.bioconductor.org/browse/pepStat/ |
Package Short Url | https://bioconductor.org/packages/pepStat/ |
Package Downloads Report | Download Stats |