pepStat

Statistical analysis of peptide microarrays


Bioconductor version: Release (3.20)

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 "4.4") and enter:


if (!require("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")
Full peptide microarray analysis PDF R Script
Reference Manual PDF

Details

biocViews Microarray, Preprocessing, Software
Version 1.40.0
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
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Suggests pepDat, Pviz, knitr, shiny
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Package Archives

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

Source Package pepStat_1.40.0.tar.gz
Windows Binary (x86_64) pepStat_1.40.0.zip
macOS Binary (x86_64) pepStat_1.40.0.tgz
macOS Binary (arm64) pepStat_1.40.0.tgz
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/
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