network_random: Generates a network.

In Patterns: Deciphering Biological Networks with Patterned Heterogeneous Measurements

Generates a network.

Description

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 omics_network object.

Author(s)

Bertrand Frederic, 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)

Patterns documentation built on June 22, 2024, 11:34 a.m.