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.
Author supplied keywords
- Comparative network analysis
- Exact graph matching
- Gene networks
- Global network alignment
- Graph Kernels
- Graph classification
- Graph clustering
- Graph distance
- 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
Cite
CITATION STYLE
Mueller, L. A. J., Dehmer, M., & Emmert-Streib, F. (2013). Comparing biological networks: A survey on graph classifying techniques. In Systems Biology: Integrative Biology and Simulation Tools (pp. 43–63). Springer Netherlands. https://doi.org/10.1007/978-94-007-6803-1_2
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