ToyModel: Toy model

In saezlab/CellNOptR: Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data

Toy model

Description

This data object contains the Toy model from the package vignette, already loaded and formatted as a Model object.

Usage

data(ToyModel)

Format

ToyModel is a list with fields "reacID" (character vector), "namesSpecies" (character vector), "interMat" (numerical matrix), "notMat"(numerical matrix).

Source

This data and model is extracted from the Matlab version of CellNOpt1.0 (http://www.ebi.ac.uk/saezrodriguez/software.html#CellNetOptimizer).

References

J. Saez-Rodriguez, L. G. Alexopoulos, J. Epperlein, R. Samaga, D. A. Lauffenburger, S. Klamt and P. K. Sorger. Discrete logic modeling as a means to link protein signaling networks with functional analysis of mammalian signal transduction, Molecular Systems Biology, 5:331, 2009.

saezlab/CellNOptR documentation built on April 16, 2024, 5:21 a.m.