fitmodel: Fit and simulate model from perturbation data

In molsysbio/STASNet: Fit and Simulate Model from Perturbation Data

Description

Fits and simulates network model derived from perturbation data using Modular Response Analysis and Profile Likelihood

Details

This package provides functions to fit, simulate and examine a model network from perturbation data. It uses the Modular Response Analysis method described in "Network quantification of EGFR signaling unveils potential for targeted combination therapy, Klinger et al." to build the model.

For a complete list of functions and classes, use 'library(help=fitmodel)'.

For a walk-through as to how the package can be used to fit a model, see the vignette.

Author(s)

Bertram Klinger [e-mail], Mathurin Dorel [e-mail], Nils Bluethgen [e-mail]

References

Klinger et al. (2013) Network quantification of EGFR signaling unveils potential for targeted combination therapy. Molecular Systems Biology.

molsysbio/STASNet documentation built on May 29, 2019, 5:45 a.m.