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KinSwingR
This is the development version of KinSwingR; for the stable release version, see KinSwingR.
KinSwingR: network-based kinase activity prediction
Bioconductor version: Development (3.23)
KinSwingR integrates phosphosite data derived from mass-spectrometry data and kinase-substrate predictions to predict kinase activity. Several functions allow the user to build PWM models of kinase-subtrates, statistically infer PWM:substrate matches, and integrate these data to infer kinase activity.
Author: Ashley J. Waardenberg [aut, cre]
Maintainer: Ashley J. Waardenberg <a.waardenberg at gmail.com>
citation("KinSwingR")):
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("KinSwingR")
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("KinSwingR")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.