M                       Simulated M data for examples.
Net                     Simulated network data for examples.
Net_inf                 Reverse-engineered network of the simulated
                        data.
Selection               Selection of genes.
analyze_network,network-method
                        Analysing the network
as.micro_array          Coerce a matrix into a micro_array object.
compare-methods         Some basic criteria of comparison between
                        actual and inferred network.
cutoff,network-method   Choose the best cutoff
dim                     Dimension of the data
evolution,network-method
                        See the evolution of the network with change of
                        cutoff
geneNeighborhood,network-method
                        Find the neighborhood of a set of nodes.
geneSelection           Methods for selecting genes
gene_expr_simulation,network-method
                        Simulates microarray data based on a given
                        network.
head,micro_array-method
                        Overview of a micro_array object
inference,micro_array-method
                        Reverse-engineer the network
micro_array-class       Class '"micro_array"'
micropredict-class      Class '"micropredict"'
network                 A network object data.
network-class           Class '"network"'
network_random          Generates a network.
plot-methods            Plot
position-methods        Returns the position of edges in the network
predict,micro_array-method
                        Prediction of the gene expressions after a
                        knock-out experience 'predict'
print-methods           Methods for Function 'print'
summary-methods         Methods for Function 'summary'
unionMicro-methods      Makes the union between two micro_array
                        objects.
