reconstructTimeseries: This method is used to reconstruct time series data

In clsdavid/FBNNet2_public: Fundamental Boolean Model and Networks

This method is used to reconstruct time series data

Description

This method is used to reconstruct time series data

Usage

reconstructTimeseries(
  fbnnetwork,
  initialStates,
  type = c("synchronous", "asynchronous"),
  maxTimepoints = 100,
  useParallel = FALSE
)

Arguments

fbnnetwork	An object of FBN network
initialStates	A list of initial states
type	Specify the type of the Fundamental Boolean model (synchronous or asynchronous)
maxTimepoints	The max time points that are going to be constructed
useParallel	Optional, if TRUE then use parallelisation

Value

A list object that contains reconstructed time series and FBN network

Examples

require(BoolNet)
data('ExampleNetwork')
initialStates <- generateAllCombinationBinary(ExampleNetwork$genes)
trainingseries <- genereateBoolNetTimeseries(ExampleNetwork,
                                           initialStates,
                                           43,
                                           type='synchronous')
cube <- constructFBNCube(target_genes = ExampleNetwork$genes,
                       conditional_genes = ExampleNetwork$genes,
                       timeseriesCube = trainingseries,
                       maxK = 4,
                       temporal = 1,
                       useParallel = FALSE)
network <- mineFBNNetwork(cube)
result <- reconstructTimeseries(fbnnetwork = network,
                              initialStates = initialStates,
                              type = 'synchronous',
                              maxTimepoints = 43)
result

clsdavid/FBNNet2_public documentation built on April 20, 2023, 4:36 p.m.