getTransitionProbabilities function

Get a matrix of transitions and their probabilities in probabilistic Boolean networks

Retrieves the state transitions and their probabilities in a probabilistic Boolean network. This takes the transition table information calculated by the markovSimulation method.

getTransitionProbabilities(markovSimulation)

Arguments

• markovSimulation: An object of class MarkovSimulation, as returned by markovSimulation. As the transition table information in this structure is required, markovSimulation must be called with returnTable set to TRUE.

Returns

Returns a data frame with the first n columns describing the values of the genes before the transition, the next n columns describing the values of the genes after the transition, and the last column containing the probability of the transition. Here, n is the number of genes in the underlying network. Only transitions with non-zero probability are included.

See Also

markovSimulation

Examples

## Not run:

# load example network
data(examplePBN)

# perform a Markov chain simulation
sim <- markovSimulation(examplePBN)

# print out the probability table
print(getTransitionProbabilities(sim))
## End(Not run)