Dr Aidong Zhang is a professor in the Department of Computer Science and Engineering at the State University of New York at Buffalo and the director of the Buffalo Center for Biomedical Computing (BCBC). She is an author of more than 190 research publications and has served on the editorial boards of the International Journal of Bioinformatics Research and Applications (IJBRA), ACM Multimedia Systems, the International Journal of Multimedia Tools and Applications, the International Journal of Distributed and Parallel Databases, and ACM SIGMOD DiSC (Digital Symposium Collection). Dr Zhang is a recipient of the National Science Foundation CAREER Award and SUNY (State University of New York) Chancellor's Research Recognition Award.
Inhaltsangabe
1. Introduction 2. Experimental approaches to generation of protein-protein interaction data 3. Computational methods for the prediction of protein-protein interactions 4. Basic properties and measurements of protein interaction networks 5. Modularity analysis of protein interaction networks 6. Topological analysis of protein interaction networks Woo-chang Hwang 7. Distance-based modularity analysis 8. Graph-theoretic approaches to modularity analysis 9. Flow-based analysis of protein interaction networks 10. Statistics and machine learning based analysis of protein interaction networks Pritam Chanda and Lei Shi 11. Integration of gene ontology into the analysis of protein interaction networks Young-rae Cho 12. Data fusion in the analysis of protein interaction networks 13. Conclusion.
1. Introduction 2. Experimental approaches to generation of protein-protein interaction data 3. Computational methods for the prediction of protein-protein interactions 4. Basic properties and measurements of protein interaction networks 5. Modularity analysis of protein interaction networks 6. Topological analysis of protein interaction networks Woo-chang Hwang 7. Distance-based modularity analysis 8. Graph-theoretic approaches to modularity analysis 9. Flow-based analysis of protein interaction networks 10. Statistics and machine learning based analysis of protein interaction networks Pritam Chanda and Lei Shi 11. Integration of gene ontology into the analysis of protein interaction networks Young-rae Cho 12. Data fusion in the analysis of protein interaction networks 13. Conclusion.
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