A new pairwise kernel for biological network inference with support vector machines

Abstract

Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-protein interactions, etc. A common setting involves inferring network edges in a supervised fashion from a set of high-confidence edges, possibly characterized by multiple, heterogeneous data… (More)
DOI: 10.1186/1471-2105-8-S10-S8

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