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Evolutionary Computation in Bioinformatics (Hardcover, 2002) Fogel & Corne
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所在地:Petaluma, California, 美國
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- ISBN
- 9781558607972
- Subject Area
- Computers
- Publication Name
- Evolutionary Computation in Bioinformatics
- Item Length
- 9.2 in
- Publisher
- Elsevier Science & Technology
- Subject
- Enterprise Applications / Business Intelligence Tools, Programming / Algorithms, Neural Networks, Intelligence (Ai) & Semantics
- Series
- The Morgan Kaufmann Series in Artificial Intelligence Ser.
- Publication Year
- 2002
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Width
- 7.4 in
- Item Weight
- 3.9 Oz
- Number of Pages
- 393 Pages
關於產品
Product Information
Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In particular, there are many problems in biology that are too large to solve with standard methods. Researchers in evolutionary computation (EC) have turned their attention to these problems. They understand the power of EC to rapidly search very large and complex spaces and return reasonable solutions. While these researchers are increasingly interested in problems from the biological sciences, EC and its problem-solving capabilities are generally not yet understood or applied in the biology community. This book offers a definitive resource to bridge the computer science and biology communities. Gary Fogel and David Corne, well-known representatives of these fields, introduce biology and bioinformatics to computer scientists, and evolutionary computation to biologists and computer scientists unfamiliar with these techniques. The fourteen chapters that follow are written by leading computer scientists and biologists who examine successful applications of evolutionary computation to various problems in the biological sciences.
Product Identifiers
Publisher
Elsevier Science & Technology
ISBN-10
1558607978
ISBN-13
9781558607972
eBay Product ID (ePID)
102796881
Product Key Features
Publication Name
Evolutionary Computation in Bioinformatics
Format
Hardcover
Language
English
Subject
Enterprise Applications / Business Intelligence Tools, Programming / Algorithms, Neural Networks, Intelligence (Ai) & Semantics
Series
The Morgan Kaufmann Series in Artificial Intelligence Ser.
Publication Year
2002
Type
Textbook
Subject Area
Computers
Number of Pages
393 Pages
Dimensions
Item Length
9.2 in
Item Width
7.4 in
Item Weight
3.9 Oz
Additional Product Features
LCCN
2002-104302
Intended Audience
Scholarly & Professional
Lc Classification Number
Qh324.2.E95 2003
Reviews
"This is a fine book that clearly discusses the applications of evolutionary computation techniques to a variety of different areas. It covers most topics a bioinformatician will find interesting." --Santosh Mishra, Eli Lilly
Table of Content
PART I - Introduction to the Concepts of Bioinformatics and Evolutionary Computation Chapter 1. An Introduction to Bioinformatics for Computer Scientists By David W. Corne and Gary B. Fogel Chapter 2. An Introduction to Evolutionary Computation for Biologists By Gary B. Fogel and David W. Corne PART II - Sequence and Structure Alignment Chapter 3. Determining Genome Sequences from Experimental Data Using Evolutionary Computation By Jacek Blazewic and Marta Kasprzak Chapter 4. Protein Structure Alignment Using Evolutionary Computation By Joseph D. Szustakowski and Zhipeng Weng Chapter 5. Using Genetic Algorithms for Pairwise and Multiple Sequence Alignments By Cédric Notredame PART III - Protein Folding Chapter 6. On the Evolutionary Search for Solutions to the Protein Folding Problem By Garrison W. Greenwood and Jae-Min Shin Chapter 7. Toward Effective Polypeptide Structure Prediction with Parallel Fast Messy Genetic Algorithms By Gary B. Lamont and Laurence D. Merkle Chapter 8. Application of Evolutionary Computation to Protein Folding with Specialized Operators By Steffen Schulze-Kremer PART IV - Machine Learning and Inference Chapter 9. Identification of Coding Regions in DNA Sequences Using Evolved Neural Networks By Gary B. Fogel, Kumar Chellapilla, and David B. Fogel Chapter 10. Clustering Microarray Data with Evolutionary Algorithms By Emanuel Falkenauer and Arnaud Marchand Chapter 11. Evolutionary Computation and Fractal Visualization of Sequence Data By Dan Ashlock and Jim Golden Chapter 12. Identifying Metabolic Pathways and Gene Regulation Networks with Evolutionary Algorithms By Junji Kitagawa and Hitoshi Iba Chapter 13. Evolutionary Computational Support for the Characterization of Biological Systems By Bogdan Filipic and Janez Strancar PART V - Feature Selection Chapter 14. Discovery of Genetic and Environmental Interactions in Disease Data Using Evolutionary Computation By Laetitia Jourdan, Clarisse Dhaenens[AQ2], and El-Ghazali Talbi Chapter 15. Feature Selection Methods Based on Genetic Algorithms for in Silico Drug Design By Mark J. Embrechts, Muhsin Ozdemir, Larry Lockwood, Curt Breneman, Kristin Bennet, Dirk Devogelaere, and Marcel Rijkaert Chapter 16. Interpreting Analytical Spectra with Evolutionary Computation By Jem J. Rowland Appendix: Internet Resources for Bioinformatics Data and Tools
Copyright Date
2003
Dewey Decimal
570.28563
Illustrated
Yes
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物品所在地:
Petaluma, California, 美國
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US $5.61(大約 HK$ 43.82) | 美國 | 經濟運送方式 (USPS Media MailTM) | 估計於 6月13日, 四至 6月17日, 一之間送達 運送地點 43230 |
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