menu
{ "item_title" : "Applications of Fuzzy Logic in Bioinformatics", "item_author" : [" Dong Xu", "James M. Keller", "Rajkumar Bondugula "], "item_description" : "Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/84/816/258/1848162588_b.jpg", "price_data" : { "retail_price" : "135.00", "online_price" : "135.00", "our_price" : "135.00", "club_price" : "135.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Applications of Fuzzy Logic in Bioinformatics|Dong Xu

Applications of Fuzzy Logic in Bioinformatics

local_shippingShip to Me
On Order. Usually ships in 2-4 weeks
FREE Shipping for Club Members help

Overview

Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.

This item is Non-Returnable

Details

  • ISBN-13: 9781848162587
  • ISBN-10: 1848162588
  • Publisher: Imperial College Press
  • Publish Date: August 2008
  • Dimensions: 9.1 x 6.1 x 0.9 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 248

Related Categories

You May Also Like...

    1

BAM Customer Reviews