#' A S3 method to print the FBM network
#'
#' @param x The network details
#' @param ... other arguments.
#'@export
print.FundamentalBooleanNetwork <- function(x, ...) {
print.FundamentalBooleanNetwork(x, ...)
}
# Custom print function for class FundamentalBooleanNetwork
print.FundamentalBooleanNetwork <- function(x, ...) {
cat("Fundamental Boolean Network with ", length(x$genes), "genes\n")
cat("Genes involved:\n", paste(x$genes, collapse = ", ", sep = ", "), "\n", sep = "")
cat("\nNetworks:")
mapply(function(gene, interaction) {
cat("\nMultiple Transition Functions for ", gene, " with decay value = ", x$timedecay[[gene]], ":\n", sep = "")
# print original expressions read from the files (if available)
lapply(names(interaction), function(funcName) {
cat(funcName, ": ", gene, " = ", interaction[[funcName]]$expression, sep = "")
if (!is.null(interaction[[funcName]]$error)) {
cat(" (")
# if (!is.null(interaction[[funcName]]$error)) cat('Error: ',as.character(as.numeric(interaction[[funcName]]$error) * 100), '%',sep='')
# cat(', ')
if (!length(interaction[[funcName]]$probability) == 0 | !is.null(interaction[[funcName]]$probability))
cat("Confidence: ", as.character(interaction[[funcName]]$probability), sep = "")
cat(", ")
if (!length(interaction[[funcName]]$timestep) == 0 | !is.null(interaction[[funcName]]$timestep))
cat("TimeStep: ", interaction[[funcName]]$timestep, sep = "") else cat("TimeStep: ", 1, sep = "")
cat(")")
}
cat("\n")
})
}, names(x$interactions), x$interactions)
if (sum(x$fixed != -1) > 0) {
cat("\nKnocked-out and over-expressed genes:\n")
mapply(function(gene, fixed) {
if (fixed != -1)
cat(gene, " = ", fixed, "\n", sep = "")
}, x$genes, x$fixed)
}
return(invisible(x))
}
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