KINNET

This package provides the functionality to process PamGene’s PamChip Data Output and generate kinase interaction networks from that.

This project uses a bayesian algorithm to generate bayesian networks for defining dependence relationships between peptide sequences in the PamChip data. It then uses a novel kinase assignment method to assign upstream kinases to each peptide which is then output as a graph.

Installation

You can install the released version of KINNET from CRAN with:

install.packages("KINNET")

You can install the latest development version of KINNET from Github with:

# remotes::install_github("CogDisResLab/KINNET")
install.packages("KINNET", repos = c('https://cogdisreslab.r-universe.dev', 'https://cloud.r-project.org'))

Example

This is a basic example which shows you how to solve a common problem:

#library(KINNET)
## basic example code