Jul 11, 2014 · We developed a method that quantifies network response in an interpretable manner. It fully exploits the (signed graph) structure of cause-and-effect networks ...

Jul 11, 2014 · We developed a method that quantifies network response in an interpretable manner. It fully exploits the (signed graph) structure of cause-and-effect networks ...

The presented framework efficiently integrates transcriptomics data and "cause and effect" network models to enable a mathematically coherent framework from ...

Results We developed a method that quantifies network response in an interpretable manner. It fully exploits the (signed graph) structure of cause-and-effect ...

For each represented method, their properties are described. The method described in this study, TopoNPA, is to our knowledge the first backward PT methodology.

Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models ... Authors: Florian Martin; Alain Sewer ...

Quantification of Biological Network Perturbations for Mechanistic Insight and Diagnostics Using Two-Layer Causal Models by Florian Martin, Alain.

Our methodology for quantifying the perturbations of biological networks provides a coherent framework for multifaceted results. a) Biological network ...

Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models · Biology, Computer Science. BMC ...

Apr 17, 2015 · M. et al. . (. 2014. ) Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models.