gene_expr_simulation,network-method {Cascade}

Simulates microarray data based on a given network.

Description

Simulates microarray data based on a given network.

Usage

## S4 method for signature 'network'
gene_expr_simulation(network, time_label = 1:4, subject = 5, level_peak = 100)

Arguments

network

A network object.

time_label

a vector containing the time labels.

subject

the number of subjects

level_peak

the mean level of peaks.

Value

A micro_array object.

Author(s)

Nicolas Jung, Frédéric Bertrand , Myriam Maumy-Bertrand.

References

Jung, N., Bertrand, F., Bahram, S., Vallat, L., and Maumy-Bertrand, M. (2014). Cascade: a R-package to study, predict and simulate the diffusion of a signal through a temporal gene network. Bioinformatics, btt705.

Vallat, L., Kemper, C. A., Jung, N., Maumy-Bertrand, M., Bertrand, F., Meyer, N., ... & Bahram, S. (2013). Reverse-engineering the genetic circuitry of a cancer cell with predicted intervention in chronic lymphocytic leukemia. Proceedings of the National Academy of Sciences, 110(2), 459-464.

Examples

data(Net)
set.seed(1)

#We simulate gene expression according to the network Net
Msim<-gene_expr_simulation(
	network=Net,
	time_label=rep(1:4,each=25),
	subject=5,
	level_peak=200)
head(Msim)