Generates a network.

Source: R/global.R

Generates a network.

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)