attractorsToLaTeX | Create LaTeX state table of attractors |
binarizeTimeSeries | Binarize a set of real-valued time series |
cellcycle | Mammalian cell cycle network |
chooseNetwork | Extract a single Boolean network from a probabilistic Boolean network |
examplePBN | An artificial probabilistic Boolean network |
fixGenes | Simulate knocked-out or over-expressed genes |
generateCanalyzing | Generation functions for biologically relevant function classes |
generateNestedCanalyzing | Generation functions for biologically relevant function classes |
generateRandomNKNetwork | Generate a random N-K Boolean network |
generateState | Generate a state vector from single gene values |
generateTimeSeries | Generate time series from a network |
getAttractors | Identify attractors in a Boolean network |
getAttractorSequence | Decode the state sequence of a synchronous attractor |
getBasinOfAttraction | Get states in basin of attraction |
getPathToAttractor | Get state transitions between a state and its attractor |
getStateSummary | Retrieve summary information on a state |
getTransitionProbabilities | Get a matrix of transitions and their probabilities in probabilistic Boolean networks |
getTransitionTable | Retrieve the transition table of a network |
igf | Boolean model of the IGF pathway |
loadBioTapestry | Import a network from BioTapestry |
loadNetwork | Load a Boolean network from a file |
loadSBML | Load an SBML document |
markovSimulation | Identify important states in probabilistic Boolean networks |
perturbNetwork | Perturb a Boolean network randomly |
perturbTrajectories | Perturb the state trajectories and calculate robustness measures |
plotAttractors | Plot state tables or transition graphs of attractors |
plotNetworkWiring | Plot the wiring of a Boolean network |
plotPBNTransitions | Visualize the transitions in a probabilistic Boolean network |
plotSequence | Plot a sequence of states |
plotStateGraph | Visualize state transitions and attractor basins |
print.AttractorInfo | Print attractor cycles |
print.BooleanNetwork | Print a Boolean network |
print.BooleanNetworkCollection | Print a probabilistic Boolean network |
print.BooleanStateInfo | Print a transition table |
print.MarkovSimulation | Print the results of a Markov chain simulation |
print.ProbabilisticBooleanNetwork | Print a probabilistic Boolean network |
print.SymbolicSimulation | Print simulation results |
print.TransitionTable | Print a transition table |
reconstructNetwork | Reconstruct a Boolean network from time series of measurements |
saveNetwork | Save a network |
sequenceToLaTeX | Create LaTeX table of state sequences |
sequenceToLaTeX.BooleanNetwork | Create LaTeX table of state sequences |
sequenceToLaTeX.data.frame | Create LaTeX table of state sequences |
simplifyNetwork | Simplify the functions of a synchronous, asynchronous, or probabilistic Boolean network |
simulateSymbolicModel | Simulate a symbolic Boolean network |
stateTransition | Perform a transition to the next state |
symbolicToTruthTable | Convert a symbolic network into a truth table representation |
testAttractorRobustness | Test properties of networks by comparing them to random networks |
testIndegree | Test properties of networks by comparing them to random networks |
testNetworkProperties | Test properties of networks by comparing them to random networks |
testTransitionRobustness | Test properties of networks by comparing them to random networks |
toPajek | Export a network to the Pajek file format |
toSBML | Export a network to SBML |
truthTableToSymbolic | Convert a network in truth table representation into a symbolic representation |
yeastTimeSeries | Yeast cell cycle time series data |