buildTimeSeries: Generate a list of data matrices
In ningshi/ATEN: ATEN

Description Usage Arguments Value Examples

Build the binary time series dataset matrix that used for network inference

1	buildTimeSeries(network, numSeries, numPoints, noiseLevel, wildtype)

`network`	A network structure generated by generateRandomNKNetwork() in BoolNet
`numSeries`	The number of time series
`numPoints`	The number of time points that is covered by each time series
`noiseLevel`	The level of the nosie. e.g. 0.05 indiciates the value of a gene can be flipped with probability $5%$
`wildtype`	A vector containing the wildtype expression values. This vector is the initial state.

A list of data matrices containg the expression values of each gene. The row/column corresponds to time point/gene respectively. The second element refers to the input data. The third element refers to the respond data of the target gene.

ngenes<-10
## k is the maximum number of genes
k<-5
## call generateRandomNKNetwork to generate a Boolean network
net1<-generateRandomNKNetwork(ngenes, k, topology="scale_free",simplify=TRUE,readableFunctions=TRUE)
datalist<-buildTimeSeries(network=net1,numSeries=10,numPoints=10,noiseLevel=0)