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On the basis of measured relative metabolite flux rates of yeast growing in a glucose medium, we evaluated the correlation of network cluster coefficients of the involved enzymes in PINs to the flux rate carried by the enzymes.
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Further, we review a method designed to construct a continuum model for the network structure, which takes into account the intrinsic spatial correlations of network properties.
Thus, the variation of C(k) perfectly coincides with the correlation profiles of network structure.
Finally, by substituting all these results into the definition (4.1), we obtain the final formula for the higher-order correlation of the network.
The reliability and biological correlation of the network were further verified by experimentation.
These results show that excitatory synaptic pathways mediated by NMDA receptors increase firing correlation of both networks, and that inhibitory synaptic pathways mediated by GABAA receptors have an opposite effect.
Compared to the random networks, the predicted correlation of the curated network is extremely significant (P-value = 4.04 × 10-23).
Prediction is based on spatiotemporal correlation of the road network.
Finally, we discussed the possibilities of correlation network analysis for the prediction of change in fruit quality grown under salt stress.
A classical method of correlation network reconstruction applies an arbitrary significance threshold to the correlation coefficients [35].
CA1 cell activity sequences emerge after reorganization of network correlation structure during associative learning.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com