Bioconductor version: Release (3.17)
It uses the overlap between enriched and non-enriched datasets to compensate for the bias introduced in global phosphorylation after applying median normalization.
Author: Sohrab Saraei [aut, cre], Tomi Suomi [ctb], Otto Kauko [ctb], Laura Elo [ths]
Maintainer: Sohrab Saraei <sohrab.saraei at blueprintgenetics.com>
Citation (from within R,
enter citation("phosphonormalizer")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("phosphonormalizer")
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("phosphonormalizer")
HTML | R Script | Pairwise normalization of phosphoproteomics data |
R Script | phosphonormalizer: Phosphoproteomics Normalization | |
Reference Manual | ||
Text | NEWS |
biocViews | Normalization, Proteomics, Software, StatisticalMethod, WorkflowStep |
Version | 1.24.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (6.5 years) |
License | GPL (>= 2) |
Depends | R (>= 4.0) |
Imports | plyr, stats, graphics, matrixStats, methods |
LinkingTo | |
Suggests | knitr, rmarkdown, testthat |
SystemRequirements | |
Enhances | MSnbase |
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 | phosphonormalizer_1.24.0.tar.gz |
Windows Binary | phosphonormalizer_1.24.0.zip |
macOS Binary (x86_64) | phosphonormalizer_1.24.0.tgz |
macOS Binary (arm64) | phosphonormalizer_1.24.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/phosphonormalizer |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/phosphonormalizer |
Bioc Package Browser | https://code.bioconductor.org/browse/phosphonormalizer/ |
Package Short Url | https://bioconductor.org/packages/phosphonormalizer/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: