Sentence examples for model network and from inspiring English sources

Once the design is decided, several techniques are employed to model network and system behavior.

Rewiring the model network and yeast TRN while keeping the in- and out-degree of each node separately invariant by conserving the directionality of the edges, leaves all of the topological features displayed in Figs. 2 and 3 practically unchanged.

The first group concerned the model network and described mechanisms of the protein-protein interactions.

We randomly select 600 nodes from the model network and designate them as nodes without an age in order to rule this out as the major contributor to the difference in the percentage of connected paralogs.

As examples, see (a) Figure  1.D and (b) the model network of the BioModels Database model Singh2006_TCA_Ecoli_glucose (BIOMD0000000222), which is a version of the TCA Cycle pathway: one can visualize (i) the relevant reaction-only mapping information, (ii) the mapping between species of the model network and metabolites of the pathway.

For those models that are related to a pathway, the Graph Viewer provides the mapping between the model network and the pathway by displaying both side by side, and highlighting species in the model and the molecular entity in the pathway together with corresponding qualifiers (such as is-part-of), provided via the Graph Viewer tool named M2P (Model-to-Pathway).

Well-defined polystyrene model networks and poly(dimethylsiloxane) model networks have been synthesized by endlinking processes under standard conditions.

We investigate a path-attack process on model networks and real-world networks.

We investigate vulnerability of complex networks including model networks and real-world networks subject to path-based attacks.

We investigate vulnerability of complex networks including model networks and real world networks subject to three-level-tree attack.

Finally, the third idea proposes that it is possible to develop quantitative relationships between synaptic parameters estimated from model networks and from experimental data since parameter changes are correctly captured in spike-free model networks and pseudo-biological data.