An ACO based functional module detection algorithm for protein interaction networks
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Clustering PPI data based on Improved functional-flow model through Quantum-behaved PSO
International Journal of Data Mining and Bioinformatics
Evolutionary analysis of functional modules in dynamic PPI networks
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Information Sciences: an International Journal
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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.