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Title
Learning kernels from biological networks by maximizing entropy.
Authors
Tsuda, Koji; Noble, William Stafford
Abstract
The diffusion kernel is a general method for computing pairwise distances among all nodes in a graph, based on the sum of weighted paths between each pair of nodes. This technique has been used successfully, in conjunction with kernel-based learning methods, to draw inferences from several types of biological networks.