pepStat
Statistical analysis of peptide microarrays
Bioconductor version: Release (3.17)
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 "4.3") 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 | R Script | |
| Reference Manual |
Details
| biocViews | Microarray, Preprocessing, Software |
| Version | 1.34.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (9 years) |
| License | Artistic-2.0 |
| Depends | R (>= 3.0.0), Biobase, IRanges |
| Imports | limma, fields, GenomicRanges, ggplot2, plyr, tools, methods, data.table |
| Linking To | |
| Suggests | pepDat, Pviz, knitr, shiny |
| System Requirements | |
| Enhances | |
| URL | https://github.com/RGLab/pepStat |
See More
| 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_1.34.0.tar.gz |
| Windows Binary | pepStat_1.34.0.zip |
| macOS Binary (x86_64) | pepStat_1.34.0.tgz |
| macOS Binary (arm64) | pepStat_1.34.0.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/ |
| Package Downloads Report | Download Stats |