Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data with a stochastic simulator.

• Please visit CellNOptR for details about the project (references, news, ...)

Here CellNOptR-MaBoSS has been implemented within the CellNOptR package. Before starting, make sure you have installed the latest version of R. For more information and download of R, please refer to R project page . For more information about how to install R packages, please refer to Installing packages. These packages rely on several Bioconductor package (e.g., RBGL, graph, methods, etc.). As an example, you can install RGBL package by typing:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("RBGL")

Using the devtools package you can install the latest version from the GitHub repository:

if(!require("devtools")) install.packages("devtools")   # installs devtools package if not already installed
devtools::install_github("saezlab/CellNOptR-MaBoSS")

An example about how to run CellNOptR-MaBoSS is provided here.

Feedbacks and bugreports are always very welcomed!
Please use the Github issue page to report bugs or for questions: https://github.com/saezlab/CellNOptR/issues. Many thanks!