FullRun: Complete run of network generation and inference.
In davidkwca/inferTPBN: Infer Threshold PBNs from Timeseries Data.

Description Usage Arguments See Also

Automatically generate a network, generate timeseries data from it, and do inference. Saves the inferred and true networks to a subdirectory.

FullRun(n = 20, k = 5, p = 0.01, num.timepoints = 10,
  num.experiments = 50, topology = "homogeneous", gamma = 2.5,
  n.cores = detectCores() - 1, seed = 111, partial = FALSE,
  verbal = FALSE)

`n`	Size of the network.
`k`	The number of inputs per regulatory function for each gene, if homogeneous topology is used
`p`	The probability of a perturbation.
`num.timepoints`	The number of time points per timeseries generated.
`num.experiments`	The number of timeseries to generate.
`topology`	The topology to be used. Can be "homogeneous" or "scale_free".
`gamma`	The exponent for the power law if topology = "scale_free".
`n.cores`	The number of cores to use in the inference.
`seed`	The random seed to use.
`partial`	If TRUE, a network using partial optimization should be inferred. Defaults to FALSE.
`verbal`	If TRUE, show progress as to which genes are currently being worked on.