Comparing Biological Networks: A Survey on Graph Classifying Techniques

Laurin A. J. Mueller, Matthias Dehmer, Frank Emmert-Streib

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

    2 Citations (Scopus)

    Abstract

    In order to compare biological networks numerous methods have been developed. Here, we give an overview of existing methods to compare biological networks meaningfully. Therefore we survey classical approaches of exact an inexact graph matching and discuss existing approaches to compare special types of biological networks. Moreover we review graph kernel-based methods and describe an approach based on structural network measures to classify large biological networks. The aim of this chapter is to provide a survey of techniques to compare biological networks for the interdisciplinary research community dealing with novel research questions in the field of systems biology

    Original languageEnglish
    Title of host publicationSystems Biology
    EditorsAles Prokop, Bela Csukas
    PublisherSpringer Netherlands
    Pages43-63
    Number of pages21
    Volume1
    ISBN (Print)9789400768031, 9400768028, 9789400768024
    DOIs
    Publication statusPublished - 1 Aug 2013
    Publication typeA3 Book chapter

    Keywords

    • Comparative network analysis
    • Exact graph matching
    • Gene networks
    • Global network alignment
    • Graph classification
    • Graph clustering
    • Graph distance
    • Graph Kernels
    • Graph matching
    • Graph probability distributions
    • Graph similarity
    • Inexact graph matching
    • Local network alignment
    • Metabolic networks
    • Network alignment
    • Network biology
    • Network classification
    • Network clustering
    • Network distance
    • Network probability distributions
    • Network similarity
    • Structural network measures
    • Superindex
    • Systems biology
    • Topological network descriptors

    ASJC Scopus subject areas

    • General Medicine

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