README.md

In JoWatson2011/shiny_subcellularvis: What the Package Does (One Line, Title Case)

subcellularvis

The goal of subcellularvis is to ... The app is hosted here

Installation

You can install the released version of subcellularvis using devtools with:

devtools::install_github("jowatson2011/subcellularvis")

Running the Shiny App from Rstudio

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

library(subcellularvis)

subcellularapp()

To run a basic analysis outside of the app:

genes <- c("MAPK1", "MAPK3")
comps <- compartmentData(genes)
runSubcellulaRvis(comps, 
                  colScheme_low = "lightblue", 
                  colScheme_high = "darkblue")

# Use plotly for interactive visualisation
plotly::ggplotly(runSubcellulaRvis(comps, 
                                   colScheme_low = "lightblue", 
                                   colScheme_high = "darkblue")
                                   )

JoWatson2011/shiny_subcellularvis documentation built on Dec. 18, 2021, 1:38 a.m.