Man pages for Cascade
Selection, Reverse-Engineering and Prediction in Cascade Networks

analyze_network-network-methodAnalysing the network
as.micro_arrayCoerce a matrix into a micro_array object.
Cascade-packageThe Cascade Package: Selection, Reverse-Engineering and...
compare-methodsSome basic criteria of comparison between actual and inferred...
cutoff-network-methodChoose the best cutoff
dimDimension of the data
evolution-network-methodSee the evolution of the network with change of cutoff
gene_expr_simulation-network-methodSimulates microarray data based on a given network.
geneNeighborhood-network-methodFind the neighborhood of a set of nodes.
geneSelectionMethods for selecting genes
head-micro_array-methodOverview of a micro_array object
inference-micro_array-methodReverse-engineer the network
MSimulated M data for examples.
micro_array-classClass '"micro_array"'
micropredict-classClass '"micropredict"'
NetSimulated network data for examples.
Net_infReverse-engineered network of the simulated data.
networkA network object data.
network-classClass '"network"'
network_randomGenerates a network.
plot-methodsPlot
position-methodsReturns the position of edges in the network
predict-micro_array-methodPrediction of the gene expressions after a knock-out...
print-methodsMethods for Function 'print'
SelectionSelection of genes.
summary-methodsMethods for Function 'summary'
unionMicro-methodsMakes the union between two micro_array objects.
Cascade documentation built on Nov. 28, 2022, 5:10 p.m.