Description: Fuzzy Systems in Bioinformatics and Computational Biology by Yaochu Jin, Lipo Wang Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Biological systems are inherently stochastic and uncertain. This book shows how fuzzy logic, a powerful tool in capturing uncertainties in engineering systems, has in recent years become popular in analyzing biological data and modeling biological systems. Publisher Description Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology. Details ISBN 3540899677 ISBN-13 9783540899679 Title Fuzzy Systems in Bioinformatics and Computational Biology Author Yaochu Jin, Lipo Wang Format Hardcover Year 2009 Pages 332 Edition 2009th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:140462023; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 189.32 USD
Location: Fairfield, Ohio
End Time: 2025-01-20T03:33:55.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Refund will be given as: Money Back
ISBN-13: 9783540899679
Book Title: Fuzzy Systems in Bioinformatics and Computational Biology
Number of Pages: Xvi, 332 Pages
Language: English
Publication Name: Fuzzy Systems in Bioinformatics and Computational Biology
Publisher: Springer Berlin / Heidelberg
Subject: Engineering (General), Cad-Cam, Logic, Applied
Publication Year: 2009
Item Weight: 26.5 Oz
Type: Textbook
Author: LiPo Wang
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Item Width: 6.1 in
Series: Studies in Fuzziness and Soft Computing Ser.
Format: Hardcover