getTransitionProbabilities {BoolNet} | R Documentation |

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

### Description

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

method.

### Usage

```
getTransitionProbabilities(markovSimulation)
```

### Arguments

`markovSimulation` |
An object of class |

### Value

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

### 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)
```

[Package

*BoolNet*version 2.1.9 Index]