pepStat

DOI: 10.18129/B9.bioc.pepStat    

Statistical analysis of peptide microarrays

Bioconductor version: Release (3.13)

Statistical analysis of peptide microarrays

Author: Raphael Gottardo, Gregory C Imholte, Renan Sauteraud, Mike Jiang

Maintainer: Gregory C Imholte <gimholte at uw.edu>

Installation

To install this package, start R (version "4.1") and enter:

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

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")

 

PDF	R Script	Full peptide microarray analysis
PDF		Reference Manual

Details

biocViews	Microarray, Preprocessing, Software
Version	1.26.0
In Bioconductor since	BioC 3.0 (R-3.1) (7 years)
License	Artistic-2.0
Depends	R (>= 3.0.0), Biobase, IRanges
Imports	limma, fields, GenomicRanges, ggplot2, plyr, tools, methods, data.table
LinkingTo
Suggests	pepDat, Pviz, knitr, shiny
SystemRequirements
Enhances
URL	https://github.com/RGLab/pepStat
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	pepStat_1.26.0.tar.gz
Windows Binary	pepStat_1.26.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	pepStat_1.26.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/pepStat
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/pepStat
Package Short Url	https://bioconductor.org/packages/pepStat/
Package Downloads Report	Download Stats