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What Stanley and co have done is to apply a network approach to the study of these time series.
In order to apply a network approach, we must first critically appraise differing perspectives to move beyond the limited conceptualizations of networks.
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Next, we applied a network approach to determine the regulatory interactions that may be coordinating gene expression.
By applying a network approach to multiple blood transcriptomics datasets, we have identified five coexpression PPI modules that associate with chronological age in humans.
Specifically, applying a network approach to frame biological invasions at the community level is particularly suitable for clarifying how invasive species can integrate into the existing interaction networks, the likely consequences for community structure, and the consequences for the most vulnerable species (Memmott et al. 2007; Bascompte 2009; Traveset and Richardson 2014).
They apply a network simulation approach through a Monte Carlo method, in which scenarios include those of market shocks, default contagion, CCPs' default.
To achieve this, one must develop a new method to apply a network theoretical approach to multivariate correlation data.
We introduce and apply a network-based approach for genome-scale metabolic knockout design.
This work is novel because it is first to apply a network-based approach to revealing the relationship between illicit drugs and their targets in order to better understand the processes of addiction.
Therefore, we apply a network-descriptor based approach.
We have applied a network biology approach which involves the integration of co-expressed gene network with corresponding protein interaction network to identify signature networks.
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