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To determine which UCP cluster is functionally more divergent, we performed functional distance (bF) analysis.
Besides electrode design and recording properties one of the key factors determining long-term function of neural interfaces is the functional distance between neurons and recording/stimulation sites and the stability of this distance over time.
The method of [ 41] provides a very sensitive measure of functional distance because it considers all known functions of a pair of proteins in assigning them a score.
Gene functional distance data from "Biological Process" and "Molecular Function" of both methods can be downloaded at http://www.mooneygroup.org/yiqiang/PPI_data/.
To determine which UCP cluster is functionally more divergent, we estimated the type-I functional distance between any two clusters, which is defined as dF = −ln(1 - θI).
More importantly, increased functional distance between neurons and recording sites will affect implant function negatively.
We find that the models produced from a choropleth mapping approach with spatial variables using Euclidian and functional distance surfaces are the best of the ten models.
We built graphs using GIS coverages to define habitat patches and determined the functional distance between the patches with least-cost path modeling.
We examine the utility of choropleth and dasymetric mapping with both Euclidean and functional distance surfaces for two differently defined wildfire seasons.
In our analysis of Indonesia's palm oil production, we find that the drivers shaping the country's resource use as well as its energy landscape are located at a spatial, temporal, and functional distance from where they take effect.
To explore the pattern of type I functional divergence in each cluster, we performed functional distance (dF) analysis (Table 1).
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