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In the graph kernel, we generate random walk paths starting from a focal user item pair and define similarities between user item pairs based on the random walk paths.
The resulting representations define similarities between ISH images that can be easily explained by functional categories.
There is a kernel function to define similarities between the data points, i.e., which is used to calculate the kernel matrix.
Similar(57)
There are many ways [1 4] to define "similarity" between chemical structures.
Three commonly used linkage criteria are single, complete, and average linkages, which define similarity between two clusters as the minimum, maximum, and average similarity between members in two clusters, respectively.
Unfortunately, the details on their methodology, including how they define similarity between news articles, is not made available to the public, so that we cannot directly compare it with our methodology.
Thus, while we use the BLAST E-value rather than the BLAST score to define similarity between sequences because it includes a number of helpful corrections[44], it must be considered as a type of score, rather than a true expectation value.
We define similarity between two proteins as the maximum similarity found between any two GO terms that annotate them.
Clusters were generated using the program Cluster [ 20], Pearson correlation as the distance measure, and average-linkage clustering to define similarity between clusters.
We implemented a global distance measure based on RWR to define similarity between genes within this interaction network (Köhler et al., 2008).
Here we use pairwise correlations between expression vectors (normalized tag counts for a particular tag across all libraries) as the criterion for defining similarities between tags; however, in principle, other similarity criteria can be used for this task.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com