Advanced data mining technologies in bioinformatics
Title:
Advanced data mining technologies in bioinformatics
Author:
Hsu, Hui-Huang, 1965-
ISBN:
9781591408659
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2006.
Physical Description:
electronic texts (x, 329 p. : ill.) : digital files.
Contents:
1. Introduction to data mining in bioinformatics / Hui-Huang Hsu -- 2. Hierarchical profiling, scoring and applications in bioinformatics / Li Liao -- 3. Combinatorial fusion analysis / D. Hsu, Yun-Sheng Chung, Bruce Kristal -- 4. DNA sequence visualization / Hsuan Chang -- 5. Proteomics with mass spectrometry / Simon Lin, Salvatore Mungal, Richard Haney, Edward Patz Jr., Patrick McConnell -- 6. Efficient and robust analysis of large phylogenetic datasets / Sven Rahmann, Tobias Muller, Thomas Dandekar, Matthias Wolf -- 7. Algorithmic aspects of protein threading / Tatsuya Akutsu -- 8. Pattern differentiations and formulations for heterogeneous genomic data through hybrid approaches / Arpad Kelemen, Yulan Liang -- 9. Paramaterless clustering techniques for gene expression analysis / Vincent Tseng, Ching-Pin Kao -- 10. Joint discriminatory gene selection for molecular classification of cancer / Junying Zhang -- 11. A Haplotype analysis system for genes discovery of common diseases / Takashi Kido -- 12. A Bayesian framework for improving clustering accuracy of protein sequences based on association rules / Peng-Yeng yin, Shyong-Jian Shyu, Guan-Shieng Huang, Shuang-Te Liao -- 13. In Silico recognition of protein-protein interaction / Byung-Hoon Park, Phuongan Dam, Chongle Pan, Ying Xu, Al Geist, Grant Heffelfinger, Nagiza Samatova -- 14. Differential association rules / Christopher Besemann, Anne Denton, Ajay Yekkirala, Ron Hutchison, Marc Anderson -- 15. Mining bioliterature / Francisco Couto, Mario Silva -- 16. Comparative genome annotation systems / Kwangmin Choi, Sun Kim.
Abstract:
The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays a essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Advanced Data Mining Technologies in Bioinformaticsis extremely useful for data mining researchers, molecular biologists, graduate students, and others interested in this topic.
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Electronic Access:
Chapter PDFs via platform: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59140-863-5