Generates a network.

Usage

network_random(
  nb,
  time_label,
  exp,
  init,
  regul,
  min_expr,
  max_expr,
  casc.level
)

Arguments

nb: Integer. The number of genes.
time_label: Vector. The time points measurements.
exp: The exponential parameter, as in the barabasi.game function in igraph package.
init: The attractiveness of the vertices with no adjacent edges. See barabasi.game function.
regul: A vector mapping each gene with its number of regulators.
min_expr: Minimum of strength of a non-zero link
max_expr: Maximum of strength of a non-zero link
casc.level: ...

Value

A network object.

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.

Author

Nicolas Jung, Frédéric Bertrand , Myriam Maumy-Bertrand.

Examples


set.seed(1)
Net<-network_random(
  nb=100,
  time_label=rep(1:4,each=25),
  exp=1,
  init=1,
  regul=round(rexp(100,1))+1,
  min_expr=0.1,
  max_expr=2,
  casc.level=0.4
  )
plot(Net)