Local pre-processing for node classification in networks : application in protein-protein interaction

Foley, Christopher Eric and Al Azwari, Sana Mohammad M and Dufton, Mark and Ross, Isla and Wilson, John; Bursa, M. and Khuri, S. and Renda, M.E., eds. (2013) Local pre-processing for node classification in networks : application in protein-protein interaction. In: Information Technology in Bio- and Medical Informatics. Lecture Notes in Computer Science . Springer-Verlag Berlin, Heidelberg, pp. 32-46. ISBN 9783642400926 (https://doi.org/10.1007/978-3-642-40093-3_3)

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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.

ORCID iDs

Al Azwari, Sana Mohammad M ORCID: https://orcid.org/0000-0002-6659-541X

Dufton, Mark ORCID: https://orcid.org/0000-0001-8176-2194

Ross, Isla ORCID: https://orcid.org/0000-0003-0106-0745

Wilson, John ORCID: https://orcid.org/0000-0002-5297-657X

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• Item metadata

  Item type:	Book Section
  ID code:	45255
  Dates:	Date Event 14 August 2013 Published
  Subjects:	Bibliography. Library Science. Information Resources > Information resources > Electronic information resources Science > Chemistry
  Department:	Faculty of Science > Pure and Applied Chemistry Faculty of Science > Computer and Information Sciences
  Depositing user:	Pure Administrator
  Date deposited:	18 Oct 2013 13:41
  Last modified:	20 Nov 2024 01:30
  Related URLs:	Scopus publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/45255