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Cayley graphs provide a group-theoretic model for designing and analyzing symmetric interconnection networks.
The pie graphs provide a global overview of the biological processes that were altered as a consequence of fracture (Figure 3).
Networks (or graphs) provide a means of intuitively visualizing and characterizing complex systems, and have proven to be particularly valuable in modeling biological systems.
These graphs provide a rough estimate of changes in width of the intrahelical gap (i.e., the binding cleft) both as a function of helical position and of time.
Graphs provide a visual impression that no summary statistic can convey, and summary statistics reduce the information to a single characteristic of the data.
Tables and graphs provide a convenient simple picture of a set of data (dataset), but it is often necessary to further summarize quantitative data, for example for hypothesis testing.
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Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure.
We demonstrate that geometric random graphs provide an excellent fit to RIGs of all fold-types and contact definitions considered in this study.
Arrays of lagged time series graphs provide an in-depth look at how timeliness patterns manifest in time series graphs.
Differences in y scale values between graphs provide an approximation of the respective abundance of the various gene products (see " Materials and methods").
This focus on the unifying relationships and links between Cartesian graphs provides a more powerful foundation for exploring key Newtonian ideas, which themselves focus on these relationships.
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