Package: KinSwingR 1.23.0

Ashley J. Waardenberg

KinSwingR: KinSwingR: network-based kinase activity prediction

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.

Authors:Ashley J. Waardenberg [aut, cre]

KinSwingR_1.23.0.tar.gz
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KinSwingR.pdf |KinSwingR.html✨
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NEWS

# Install 'KinSwingR' in R:
install.packages('KinSwingR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:KinSwingR-1.23.0(bioc 3.20)KinSwingR-1.22.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

5 exports 0.61 score 29 dependencies 1 mentions

Last updated 2 months agofrom:81dce29547

Exports:buildPWMcleanAnnotationscoreSequencesswingviewPWM

Dependencies:BHBiocParallelbitbit64blobcachemchronclicodetoolscpp11data.tableDBIfastmapformatRfutile.loggerfutile.optionsgluegsubfnlambda.rlifecyclememoisepkgconfigplogrprotorlangRSQLitesnowsqldfvctrs

KinSwingR: Predicting kinase activity from phosphoproteomics data

Ashley J. Waardenberg

Rendered fromKinSwingR.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2019-04-30
Started: 2018-09-21