Sentence examples for clusters of interactions from inspiring English sources
The primary findings are: (i) some configurations that appeared to be uncoupled by linear spectral analysis metrics were actually found to be nonlinearly coupled, and (ii) two types of nonlinear coupling were observed one dominated by the fundamental and its interaction with higher modes, and another that displayed clusters of interactions between a frequency component and its sidebands.
We define two clusters of interactions; the first being characterised by two proteins with a shared domain which is not sufficient for maintaining the interaction.
One of the earliest network alignment algorithms, NetworkBlast (Sharan and Ideker, 2006) defines the network alignment graph by identifying sequence similar proteins from several species and carries out a search over this graph for dense clusters of interactions.
More recently, CDD site annotation is used to verify and rank clusters of interactions observed in 3D structures as presented by the Inferred Biomolecular Interactions Server (IBIS) resource (6), where such clusters can be used to infer interactions for proteins sequence similar to those with known 3D structure.
To select one potential complex out of five structures, we utilized an additional phylogenetic approach based on maximum likelihood analysis to highlight clusters of interaction "hot spots" on both DDX3X and CRM-1 surface.
Specifically, our data suggest that high values of nestedness, connectivity and clustering of interactions with mutualistic pollinators are beneficial to individual plants coexisting in local populations.
Active chromatin hubs (ACH) refer to the clustering of interactions between promoters and regulatory elements involved in the regulation of many tissue-specific genes [53].
The algorithm based on link communities performs a hierarchical clustering of interactions and considers a module to be a set of closely interrelated interactions.
The visualization of the corresponding sub-network (see Fig. 3) reveals a dense cluster of interactions that interlink the PD gene set with the interleukin-6 pathway.
This algorithm performs a hierarchical clustering of interactions, that is, instead of assuming that a functional module is a set of nodes with many interactions between them, it considers a module to be a set of closely interrelated interactions.
