R/GDIpathway1.R

In bnRep: A Repository of Bayesian Networks from the Academic Literature

#' GDIpathway Bayesian Networks
#'
#'
#' Integrative network modeling highlights the crucial roles of Rho-GDI signaling pathway in the progression of non-small cell lung cancer.
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network to pinpoint key cellular factors and pathways likely to be involved with the onset and progression of non-small cell lung cancer (healthy patients). The network was available from an associated repository. The vertices are:
#' \describe{
#' \item{ARHGAP6}{(Above, Below);}
#' \item{ARHGEF19}{(Above, Below);}
#' \item{CD44}{(Above, Below);}
#' \item{CDC42-IT1}{(Above, Below);}
#' \item{CDH1}{(Above, Below);}
#' \item{CFL2}{(Above, Below);}
#' \item{DAGLB}{(Above, Below);}
#' \item{DGKZ}{(Above, Below);}
#' \item{DLC1}{(Above, Below);}
#' \item{ECM1}{(Above, Below);}
#' \item{ERMAP}{(Above, Below);}
#' \item{ERMP1}{(Above, Below);}
#' \item{GNA11}{(Above, Below);}
#' \item{GNG11}{(Above, Below);}
#' \item{GPRC5A}{(Above, Below);}
#' \item{ITGB2}{(Above, Below);}
#' \item{LACTB}{(Above, Below);}
#' \item{LIMK2}{(Above, Below);}
#' \item{PAAF1}{(Above, Below);}
#' \item{PAK1}{(Above, Below);}
#' \item{PAK1}{(Above, Below);}
#' \item{PIP}{(Above, Below);}
#' \item{PIP4K2A}{(Above, Below);}
#' \item{PIP5K1B}{(Above, Below);}
#' \item{RAC2}{(Above, Below);}
#' \item{RHOJ}{(Above, Below);}
#' \item{ROCK2}{(Above, Below);}
#' \item{RTKN}{(Above, Below);}
#'  }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @references Gupta, S., Vundavilli, H., Osorio, R. S. A., Itoh, M. N., Mohsen, A., Datta, A., ... & Tripathi, L. P. (2022). Integrative network modeling highlights the crucial roles of rho-GDI signaling pathway in the progression of non-small cell lung cancer. IEEE Journal of Biomedical and Health Informatics, 26(9), 4785-4793.
"GDIpathway1"