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nkbaim/kscancer

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license: NOASSERTION

Language: R .

An R package and shiny app for Kinase-Substrates prediction on Cancer prophoproteomics data

GitHub网址


output: github_document

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

KSCancer

Lifecycle: experimental

The goal of KSCancer is to ...

Installation

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

install.packages("KSCancer")

Example

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

library(KSCancer)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)

You'll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this. You could also use GitHub Actions to re-render README.Rmd every time you push. An example workflow can be found here: https://github.com/r-lib/actions/tree/master/examples.

You can also embed plots, for example:

plot(pressure)

In that case, don't forget to commit and push the resulting figure files, so they display on GitHub and CRAN.

最近版本更新:(数据更新于 2024-09-08 22:35:42)

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