Alignment of molecular networks by integer quadratic programming

Alignment of molecular networks by integer quadratic programming

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Article ID: iaor2009353
Country: United Kingdom
Volume: 23
Start Page Number: 1631
End Page Number: 1639
Publication Date: Jan 2007
Journal: Bioinformatics
Authors: , , , ,
Keywords: programming: integer, programming: quadratic
Abstract:

With more and more data on molecular networks (e.g. protein interaction networks, gene regulatory networks and metabolic networks) available, the discovery of conserved patterns or signaling pathways by comparing various kinds of networks among different species or within a species becomes an increasingly important problem. However, most of the conventional approaches either restrict comparative analysis to special structures, such as pathways, or adopt heuristic algorithms due to computational burden.

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