Encyclopedia of Systems Biology

2013 Edition
| Editors: Werner Dubitzky, Olaf Wolkenhauer, Kwang-Hyun Cho, Hiroki Yokota

Visualization of Disease Networks

  • Sanjeev Kumar
  • Shipra Agrawal
Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-9863-7_202


Network Visualization

With huge amount of biological data, network analysis of the data has become almost inevitable. Complex scientific data can be conveniently represented in the form of graphical models such as graphs having nodes and edges forming networks. The vital information can be easily visualized and hence be extracted, which otherwise may lay hidden in such large and complex data.

Visualization of Disease Networks

Network visualization has enabled scientists to hypothesize the causal mechanisms behind the diseases more easily and extract hidden information from the entities (nodes) and the relations between them (edges). It can facilitate analysis of disease-related molecular data in multiple dimensions as the data could be visualized simultaneously, which can further assist in decision making.

The disease-oriented networks could be described through the proper visualization and topologically significant network diagrams. The application of network visualization...
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Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  1. 1.BioCOS Life Sciences Private LimitedBangaloreIndia
  2. 2.BioCOS Life Sciences Private Limited, Institute of Bioinformatics and Applied BiotechnologyBangaloreIndia