Sentence examples for correlated network from inspiring English sources

Exact(16)

The dynamic changing topology of the Always Correlated network can be visualised by changing the correlation cut-off incrementally.

At this value, the model provides a highly correlated network structure.

There is a three element correlated network that only appears in Sunshine growth medium with sufficient Fe, Co-Cd is positively correlated while both are negatively correlated to Cu (Cu-Cd is not significant in CviLer) (Figure 1).

Consistent with the model of [5], four of the six genes that they identified as regulated by EYA1/SIX1 were members of our glycolysis/fast twitch module (the other two did not make it into the Always correlated network) to which SIX1 was linked.

With this in mind, neuroimaging studies are limited in their characterization of individuals' functionality within any correlated network.

The integration of these two components, coupled with efficient variational inference, enables the selection of networks as well as correlated network nodes in the selected networks.

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Similar(44)

Compared to subcritical (T < T c ) and supercritical (T > T c ) temperature regions, their simulated results at this critical point highlighted a balance between positive and negative correlated networks and were comparable with the correlation and anticorrelation obtained from resting state fMRI.

For example, the disjunctive constraint corresponds to the correlated link weights, so the maximum flow problem in correlated networks is also NP-hard and does not admit a PTAS.

The dependencies in interdependent and SRLG networks can also be seen as correlations, so we use the term correlation throughout this paper and study relevant problems in these so-called correlated networks.

However, it is important to note that although the issue of pervasiveness makes the overlap of 2 correlation maps difficult to interpret, it does not undermine the interpretation of correlated networks that are clearly segregated; fcMRI remains a powerful technique for detecting divergent networks and for characterizing the topography of regions participating in them.

As neural circuits perform hierarchically organized computational functions and give rise to network-level processes (e.g., macroscopic rhythms and goal-directed or homeostatic behaviors), correlated network-level deficits may indicate perturbation of a specific circuit.

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