Cascade

The Cascade Package: Selection, Reverse-Engineering and Prediction in Cascade Networks

Simulated M data for examples.

Simulated network data for examples.

Reverse-engineered network of the simulated data.

Selection of genes.

Analysing the network

Coerce a matrix into a micro_array object.

Some basic criteria of comparison between actual and inferred network.

Choose the best cutoff

Dimension of the data

See the evolution of the network with change of cutoff

Find the neighborhood of a set of nodes.

Methods for selecting genes

Simulates microarray data based on a given network.

Overview of a micro_array object

Reverse-engineer the network

Class "micro_array"

Class "micropredict"

A network object data.

Class "network"

Generates a network.

Plot

Returns the position of edges in the network

Prediction of the gene expressions after a knock-out experience predict

Methods for Function print

Methods for Function summary

Makes the union between two micro_array objects.