Knowledge Discovery in Bioinformatics
Techniques, Methods, and Applications
Will be published approx. on 6. July 2007
Book
Hardback
364 pages
978-0-471-77796-0 (ISBN)
Description
Wiley Series on Bioinformatics: Computational Techniques and Engineering
Discover how data mining is fueling new discoveries in bioinformatics
As the field of bioinformatics continues to flourish, producing enormous amounts of new data, the need for sophisticated methods of data mining to better manage and extract meaning from bioinformatics data has grown tremendously. This pioneering text brings together an unparalleled group of leading experts in both data mining and bioinformatics. These experts present a broad range of novel methods, techniques, and applications of data mining for the analysis and management of bioinformatics data sets. Among the topics covered are:
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RNA and protein structure analysis
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DNA computing
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Sequence mapping and genome comparison
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Gene expression data mining
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Metabolic network modeling
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Phyloinformatics
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Biomedical literature data mining
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Biological data integration and searching
For each topic, readers get an inside perspective into the latest research-what works and what doesn't and where additional research and development is needed. References to the primary literature facilitate further in-depth research.
Data mining in bioinformatics holds the promise of solving such fundamental problems as protein structure, gene finding, data retrieval, and integration. This text is therefore essential reading for all researchers in bioinformatics, pointing them to new methods and techniques that may be the key to new and important discoveries.
Reviews / Votes
"...is an educational and interesting read and a reminder of just how much the worlds of statistics, biology, and computer science have melded." (Journal of the American Statistical Association, June 2008) "...a worthwhile read for any bioinformatician and fulfills its stated object of presenting cutting-edge research topics." (IEEE Engineering in Medicine and Biology Magazine, January/February 2008)"...this book is essential reading for all researchers in bioinformatics." (Bioautomation, volume 7)
More details
Product info
gebunden
Series
Edition
1. Auflage
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Illustrations
Drawings: 119 B&W, 0 Color; Screen captures: 5 B&W, 0 Color
Dimensions
Height: 24.1 cm
Width: 16.4 cm
Thickness: 2.4 cm
Weight
705 gr
ISBN-13
978-0-471-77796-0 (9780471777960)
Schweitzer Classification
Other editions
Additional editions
E-Book
08/2007
Wiley
€122.99
Available for download
Persons
Xiaohua Hu, PhD, is Assistant Professor of Computer Science in the College of Information Science and Technology at Drexel University. His research has been published in such journals as IEEE Computer, Knowledge and Information Systems, Journal of Intelligent Systems, and the International Journal of Applied Intelligence.
Yi Pan, PhD, is Chair and Professor of Computer Science at Georgia State University. His pioneering work in computing using reconfigurable optical buses has been cited by researchers around the world. Dr. Pan is co-holder of three United States patents (pending) and five provisional patents.
Content
Contributors.
Preface.
1 Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines (Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, and Yi Pan).
2 Comparison of Seven Methods for Mining Hidden Links (Xiaohua Hu, Xiaodan Zhang, and Xiaohua Zhou).
3 Voting Scheme-Based Evolutionary Kernel Machines for Drug Activity Comparisons (Bo Jin and Yan-Qing Zhang).
4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data (Trupti Joshi, Jinrong Wan, Curtis J. Palm, Kara Juneau, Ron Davis, Audrey Southwick, Katrina M. Ramonell, Gary Stacey, and Dong Xu).
5 Identification of Marker Genes from High-Dimensional Microarray Data for Cancer Classification (Jiexun Li, Hua Su, and Hsinchun Chen).
6 Patient Survival Prediction from Gene Expression Data (Huiqing Liu, Limsoon Wong, and Ying Xu).
7 RNA Interference and microRNA (Shibin Qiu and Terran Lane).
8 Protein Structure Prediction Using String Kernels (Huzefa Rangwala, Kevin DeRonne, and George Karypis).
9 Public Genomic Databases: Data Representation, Storage, and Access (Andrew Robinson, Wenny Rahayu, and David Taniar).
10 Automatic Query Expansion with Keyphrases and POS Phrase Categorization for Effective Biomedical Text Mining (Min Song and Il-Yeol Song).
11 Evolutionary Dynamics of Protein-Protein Interactions (L. S. Swapna, B. Offmann, and N. Srinivasan).
12 On Comparing and Visualizing RNA Secondary Structures (Jason T. L. Wang, Dongrong Wen, and Jianghui Liu).
13 Integrative Analysis of Yeast Protein Translation Networks (Daniel D. Wu and Xiaohua Hu).
14 Identification of Transmembrane Proteins Using Variants of the Self-Organizing Feature Map Algorithm (Mary Qu Yang, Jack Y. Yang, and Craig W. Codrington).
15 TRICLUSTER: Mining Coherent Clusters in Three-Dimensional Microarray Data (Lizhuang Zhao and Mohammed J. Zaki).
16 Clustering Methods in a Protein-Protein Interaction Network (Chuan Lin, Young-Rae Cho, Woo-Chang Hwang, Pengjun Pei, and Aidong Zhang).
References.
Index.