populationSimulation: Analyze and graph the average of multiple asynchronous...

Description Usage Arguments Value Examples

View source: R/BNP_Population.R

Description

Analyze and graph the average of multiple asynchronous simulations for an specific number of time steps

Usage

1
2
3
populationSimulation(net, tStates = 1000, simulations = 1000,
  new.nodes = list(), new.values = list(), gene = NULL,
  duration = 1, value = 1, pertTime = 400, onePert = TRUE)

Arguments

net

Boolnet network

tStates

Number of time steps running each simulation, default value set to 1000.

simulations

Number of simulations equivalent to "population size", default value set to 1000.

new.nodes

Nodes to fix with an specific value at the initial state.

new.values

Values for nodes in new.nodes.

gene

Gene to perturb at an specific time-step (pertTime), default value set NULL.

duration

Time of perturbation, default value set to 1.

value

Value of perturbed gene, default value set to 1.

pertTime

Specific time-step at which the gene will be perturbed, default value set to 400.

onePert

If this is TRUE the perturbation will only occur one time during the simulation. If FALSE, de perturbation wil occur periodically, default value set to TRUE.

Value

Data frame with the average of the simulations for each node in each time step

Examples

1
2
data(netTh17Treg)
pop_Th17 <- popSimulation(netTh17Treg, new.nodes = c("IL2e","IL21e","TGFBe"), new.values = c(1,1,1), gene ="TGFBe", value = 0)

mar-esther23/boolnet-perturb documentation built on Jan. 14, 2019, 7:49 p.m.