Sentence examples for identification of modules from inspiring English sources

Yet, the identification of modules and standardised interaction routes remains a non-trivial problem.

The identification of modules in complex networks has attracted much attention of the scientific community in the last years, and social networks constitute a prominent example.

While community detection in unipartite networks has been extensively studied in the past decade, identification of modules or communities in bipartite networks is still in its early stage.

We introduce a novel approach for the identification of modules based on the persistence of isolated gene groups within an evolving graph process.

For the identification of modules within a dendrogram, we consider both global cuts, including the one suggested by the gap statistic [17], and local cuts.

This approach for the detection of module isolation, which we refer to as the Miso method, permits the identification of modules with differing internal cohesion and determines the statistical significance of each candidate module.

This extension allows the identification of module-based prognostic markers, rather than gene-based markers.

Considering that the subnetwork marker extracted from protein interaction databases are more reproducible than individual gene markers [15], [16], we assume that the identification of module-module interactions is more robust than that of gene-gene interactions.

Equally interesting was the identification of module genes participating in multiple stress responsive pathways.

The presented method allows the detection of the isolated sets of blocked and gap metabolites and the way in which these are interconnected in what we have termed unconnected modules (UM) (see Identification of Unconnected Modules in section Methods).

For more complex cases, a visual inspection of the underling "Unconnected Module" (see section: Identification of Unconnected Modules) may help to the classification.