nkbaim/kscancer
Fork: 0 Star: 0 (更新于 2024-12-20 11:14:38)
license: NOASSERTION
Language: R .
An R package and shiny app for Kinase-Substrates prediction on Cancer prophoproteomics data
output: github_document
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
KSCancer
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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