Local Pre-processing for Node Classification in Networks

Application in Protein-Protein Interaction
  • Christopher E. Foley
  • Sana Al Azwari
  • Mark Dufton
  • Isla Ross
  • John N. Wilson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8060)

Abstract

Network modelling provides an increasingly popular conceptualisation in a wide range of domains, including the analysis of protein structure. Typical approaches to analysis model parameter values at nodes within the network. The spherical locality around a node provides a microenvironment that can be used to characterise an area of a network rather than a particular point within it. Microenvironments that centre on the nodes in a protein chain can be used to quantify parameters that are related to protein functionality. They also permit particular patterns of such parameters in node-centred microenvironments to be used to locate sites of particular interest. This paper evaluates an approach to index generation that seeks to rapidly construct microenvironment data. The results show that index generation performs best when the radius of microenvironments matches the granularity of the index. Results are presented to show that such microenvironments improve the utility of protein chain parameters in classifying the structural characteristics of nodes using both support vector machines and neural networks.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christopher E. Foley
    • 1
    • 2
  • Sana Al Azwari
    • 1
  • Mark Dufton
    • 2
  • Isla Ross
    • 1
  • John N. Wilson
    • 1
  1. 1.Department of Computer & Information SciencesUniversity of StrathclydeGlasgowUK
  2. 2.Department of Pure & Applied ChemistryUniversity of StrathclydeGlasgowUK

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