getTransitionProbabilities {BoolNet} | R Documentation |
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)
markovSimulation |
An object of class |
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.
# load example network data(examplePBN) # perform a Markov chain simulation sim <- markovSimulation(examplePBN) # print out the probability table print(getTransitionProbabilities(sim))