phosphonormalizer
Compensates for the bias introduced by median normalization in
Bioconductor version: 3.24 · Package version: 1.37.0
It uses the overlap between enriched and non-enriched datasets to compensate for the bias introduced in global phosphorylation after applying median normalization.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("phosphonormalizer")Details
| Maintainer | Sohrab Saraei <sohrab.saraei@blueprintgenetics.com> |
| Author | Sohrab Saraei [aut, cre], Tomi Suomi [ctb], Otto Kauko [ctb], Laura Elo [ths] |
| License | GPL (>= 2) |
| Downloads rank | 366 |
| Source branch | devel |
| biocViews | Normalization, Proteomics, Software, StatisticalMethod, WorkflowStep |
Documentation
- phosphonormalizer: Pairwise normalization of phosphoproteomics data
- phosphonormalizer: Phosphoproteomics Normalization
Download
Follow the installation instructions to use this package in your R session.
| Source package | phosphonormalizer_1.37.0.tar.gz |
| Windows binary (x86_64) | phosphonormalizer_1.37.0.zip |
| macOS binary (arm64) | phosphonormalizer_1.37.0.tgz |
| macOS binary (x86_64) | phosphonormalizer_1.37.0.tgz |
Dependencies
Depends: R (>= 4.0)
Imports: plyr, stats, graphics, matrixStats, methods
Suggests: knitr, rmarkdown, testthat
Enhances: MSnbase