Clustering Methods Benchmarking

Shiny app allowing the user to evaluate the F score for all the populations within a Reference File used as Input by comparing it to an output file containing clusters generated by a clustering or overclustering algorithm.

You may find additional information here :

Requirements

• software: R(Version 3.4.3 to 3.5), Rstudio(optional)
• R packages: shiny, shinyjs, shinydashboard, flowCore, gplots, Biobase, FlowSOM, stats, microbenchmark

Quick installation guide

1. Run the following command in R/RStudio:

install.packages(c("shiny", "shinyjs", "shinydashboard", "stats, "devtools", "microbenchmark", "gplots"))
source("https://bioconductor.org/biocLite.R")
biocLite("Biobase")
biocLite("flowCore")
biocLite("ggcyto")

You may be asked to reload your environment, if so, accept.

2. Run the next commands:

library("devtools")
install_github("isambens/clustering-methods-benchmarking")

Launching the shiny application

1. Run the following commands in R/RStudio:

library("MethodsBenchmarking")
MethodsBenchmarking.run()