Sentence examples for between networks of different from inspiring English sources

Analogous to genomic sequence alignment, biological network alignment identifies conserved regions between networks of different species.

For example, evolutionary insights can be gained by identifying topological similarities between networks of different species (Singh et al., 2008).

Although relationships between networks of different scales have been observed in macroscopic brain studies, relationships between structures of different scales in networks of neurons are unknown.

Our analysis revealed that undirected networks are similar at the basic three and four nodes, while the analysis of directed networks revealed the distinction between networks of different disciplines.

Analogous to sequence alignment, which finds regions of similarity that are a likely consequence of functional or evolutionary relationships between the sequences, network (or graph) alignment finds regions of topological and functional similarity between networks of different species [ 1].

Except for a few differences between pollination networks of different habitats, our results were highly consistent between the 2 years of the study, which were both considered 'normal' years in terms of precipitation and sea surface patterns (FCD Weather report, data not shown), despite the usual fluctuations in flower production and flower-visitors' presence/abundance.

In fact, there exist differences between PPI networks of different species in their structures and topologies.

Though global level degree distribution of PPI networks of many species follows power law, subtle differences between PPI networks of different species can be found by using other concepts.

The sum power constraint in (13) enables a fair comparison between the networks of different sizes.

However, detailed analysis of the linear generalized synchronization between two networks of different topological structures and time-varying coupling delay has not been attempted in [42].

In this paper we take a broader view by incorporating 134 bacteria from 16 phyla, and utilising a network perspective to gain quantitative insight into structural correlations between metabolic networks of different species.