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A component consisting of 145 patches of which 5 patches having high relative importance value within the component were identified for prioritizing the connectivity efforts.
To identify functional connectivity patterns, we used a biophysical model to simulate larval dispersal, and then prioritized highly-connected patches using a reserve selection algorithm.
Our first criterion was to prioritize genes by their connectivity because highly connected genes, also called hub genes, have been previously shown to be key regulators of the module [ 29, 42, 43].
For prioritizing the candidate genes, analysis was further restricted to genes with high connectivity and a significant association with a stage.
The central analysis components, NetWalk and FunWalk, are novel random walk-based network analysis methods that provide unique analysis capabilities to assess the entire data distributions together with network connectivity to prioritize molecular and functional networks, respectively, most highlighted in the supplied data.
For prioritizing the candidate genes, the analysis were then restricted to genes with high connectivity and a significant association with cancer stage.
In the future, we believe species distribution models (SDM) and connectivity assessment in relation to climate change will provide increasingly useful information and new implications for prioritizing the conservation of the endangered species.
Prioritizing the Alternatives.
Prioritizing the derived fingerprints.
Prioritizing spending.
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