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KinSwingR

This is the released version of KinSwingR; for the devel version, see KinSwingR.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8

KinSwingR: network-based kinase activity prediction

DOI: 10.18129/B9.bioc.KinSwingR

Bioconductor version: Release (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 (from within R, enter citation("KinSwingR")):

Ashley J. Waardenberg. KinSwingR: KinSwingR: network-based kinase activity prediction. doi:10.18129/B9.bioc.KinSwingR, R package version 1.30.0, https://bioconductor.org/packages/KinSwingR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

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

Package Archives

Follow Installation instructions to use this package in your R session.