Biological Data Mining in Protein Interaction Networks

Current high-throughput methods for detecting protein-protein interactions (PPIs) have enabled the construction of PPI networks on a genomic scale. This book for biologists and computer scientists compiles research results and best practices for biological data mining and graph mining techniques in PPI networks, from cross-disciplinary researchers and practitioners working in bioinformatics, data mining, and proteomics. An introductory section reviews the molecular biology at PPIs for computer scientists, and reviews data mining for biologists. Later chapters are organized in sections on PPI network construction and cleansing, knowledge discovery from PPI networks, biological applications using PPI analysis, and tools for analysis of PPI networks. Each chapter is written to serve as a tutorial for network-based computational analysis of PPI networks. Theoretical descriptions of the computational challenges and methods are provided for computationally inclined readers. For more practically inclined readers, each chapter discusses and compares experimental results and scientific findings obtained by using the methods. Where possible, each chapter lists and briefly describes online tools and database resources, and discusses future trends. The book is aimed at three overlapping audiences: researchers in bioinformatics, data mining, machine learning, and data structure; industry practitioners in these areas; and graduate students. The editor is affiliated with the Institute for Infocomm Research in Singapore. Annotation c2009 Book News, Inc., Portland, OR (booknews.com)