Abstract
The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research.
| Original language | English |
|---|---|
| Title of host publication | Protein Interaction Networks Computational Analysis |
| Publisher | Cambridge University Press |
| Pages | 1-278 |
| Number of pages | 278 |
| Volume | 9780521888950 |
| ISBN (Electronic) | 9780511626593 |
| ISBN (Print) | 9780521888950 |
| DOIs | |
| State | Published - Jan 1 2009 |
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