Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data.
- Please visit CellNOptR for details about the project (references, news, ...)
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.
Standard installation from Bioconductor
To install CellNOptR, type:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("CellNOptR", version = "3.8")
Then, you can also install other CellNOptR related packages::
BiocManager::install("CNORdt") BiocManager::install("CNORfeeder") BiocManager::install("CNORfuzzy") BiocManager::install("CNORode")
Installation from GitHub
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", build_vignettes = TRUE)
To see the documentation of the package and a few examples, please type:
Install from a local copy of the package:
install CellNOptR from a tar ball as follows:
install.packages("path_to_CellNOptR/CellNOptR_1.0.0.tar.gz", repos=NULL, type="source")
or, using the R GUI by clicking on "Packages & Data" then "Package installer", then choosing "local source" from the dropdown menu, clicking "install", choosing CellNOptR.1.0.0.tar.gz and finally clicking "open".
Feedbacks, bug reports, features
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!