knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
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.
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("AliSajid/KINNET")
This is a basic example which shows you how to solve a common problem:
#library(KINNET) ## basic example code
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