This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see PhosR.
Bioconductor version: 3.12
PhosR is a package for the comprenhensive analysis of phosphoproteomic data. There are two major components to PhosR: processing and downstream analysis. PhosR consists of various processing tools for phosphoproteomics data including filtering, imputation, normalisation, and functional analysis for inferring active kinases and signalling pathways.
Author: Pengyi Yang [aut], Taiyun Kim [aut, cre], Jieun Hani Kim [aut]
Maintainer: Taiyun Kim <taiyun.kim at sydney.edu.au>
Citation (from within R,
enter citation("PhosR")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("PhosR")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PhosR")
R Script | An introduction to PhosR package | |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | ResearchField, Software, SystemsBiology |
Version | 1.0.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (0.5 years) |
License | GPL-3 + file LICENSE |
Depends | R (>= 4.0.0) |
Imports | ruv, e1071, calibrate, dendextend, limma, pcaMethods, stats, RColorBrewer, circlize, dplyr, igraph, pheatmap, preprocessCore, tidyr, rlang, graphics, grDevices, utils |
LinkingTo | |
Suggests | testthat, knitr, GGally, network, reshape2, ClueR, directPA, ggplot2, ggpubr |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | PhosR_1.0.0.tar.gz |
Windows Binary | PhosR_1.0.0.zip |
macOS 10.13 (High Sierra) | PhosR_1.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/PhosR |
Source Repository (Developer Access) | git clone [email protected]:packages/PhosR |
Package Short Url | https://bioconductor.org/packages/PhosR/ |
Package Downloads Report | Download Stats |
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