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 language | English |
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Title of host publication | Systems Biology |
Editors | Ales Prokop, Bela Csukas |
Publisher | Springer Netherlands |
Pages | 43-63 |
Number of pages | 21 |
Volume | 1 |
ISBN (Print) | 9789400768031, 9400768028, 9789400768024 |
DOIs | |
Publication status | Published - 1 Aug 2013 |
Publication type | A3 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