findAttractors: Identifies attractors of a network.

In csclab/RMut: RMut: a collective framework for mutations analysis in network dynamics

Description

Identifies attractors of a network and returns the resulted transition network.

Usage

findAttractors(network, stateSet)

Arguments

network	A network used for the attractors search
stateSet	The identifier for accessing a set of initial-states

Details

This function searches attractors of a specific network, and the returned results are stored in a Transition network object. The calculation is based on a set of initial-states specified by an identifier stateSet. The current set of update-rules of the network is used with a synchronous updating scheme.

Value

The resulted transition network.

See Also

generateStates, generateState, generateRule, calSensitivity

Examples

data(amrn)
# Generate a set of random Nested Canalyzing rules
generateRule(amrn, 2)

# Generate a specific initial-state for the AMRN network
state1 <- generateState(amrn, "1110011011")

transNet <- findAttractors(amrn, state1)
print(transNet)
output(transNet)

csclab/RMut documentation built on May 14, 2019, 12:07 p.m.