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Setting 5 used the logarithm-based function to transform similarity value to distance value, s.t.
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Transform the similarity values to distance values in (mathfrak {C'}).
In classifier studies, this essentially shifts the focus from feature values to distance values.
There is considerable literature in the real estate community on economic theory, modeling, and data analysis relating urban land values to distance from the city center.
We want to solve v 0 in the steps below: 1. Transform the similarity values to distance values in (mathfrak {C'}).
In order to compare the trend of LD decay amongst the different genetic groups, we averaged LD values to distance intervals equal to the average genome-wide LD block estimated.
The Kosambi function was used to convert the recombinant value to genetic distance [ 39].
Notice that, such a DAG has been previously modified to assign a value to each distance by connecting all the root nodes in the original DAG to a new single dummy root node.
For this method, CheS-Mapper converts the feature values to a distance matrix using Euclidean distance.
The relative strength of Coulomb interaction can be estimated as ratio of its characteristic value to a characteristic distance between Landau levels.
We extend the use of this value to the minimum distance needed between residues for molecular interaction.
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