Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence) - Image 1

£21.53

Morgan Kaufmann Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)

Name: Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
Brand: Morgan Kaufmann
Price: 21.53 GBP
Availability: InStock

illustrations

AI & Machine Learning

Same price for 16 weeks. Today is much like next week.

£22 for 111 days straight · last change was Oct 2025

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 633 days • 633 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 633 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £22 (600 days, 94.8%)

Price range: £16 - £72

Price levels: 4 different prices over 633 days

Description

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. * Describes applications of EC to bioinformatics in a wide variety of areas including DNA sequencing, protein folding, gene and protein classification, drug targeting, drug design, data mining of biological databases, and biodata visualization.* Offers industrial and academic researchers in computer science, biology, and bioinformatics an important resource for applying evolutionary computation.* Includes a detailed appendix of biological data resources.

Product Specifications

Brand: Morgan Kaufmann
Model: illustrations
Format: Hardcover
ASIN: 1558607978
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 01 October 2002
Listed Since: 15 December 2006

Barcode

No barcode data available

Morgan Kaufmann Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)

Same price for 16 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Introduction to Computational Biology: An Evolutionary Approach

Fundamentals of Bioinformatics and Computational Biology: Methods and Exercises in MATLAB: 6 (Modeling and Optimization in Science and Technologies)

Predictive Methods for Genomics and Evolution: Towards a New Analytical Biology

Computational Methods in Protein Evolution: 1851 (Methods in Molecular Biology, 1851)

Humana Evolutionary Genomics Volume 2 - Methods in Molecular Biology

Bioinformatics for DNA Sequence Analysis: 537 (Methods in Molecular Biology, 537)

Mathematics of Evolution and Phylogeny

Computational Methods in Protein Evolution: 1851 (Methods in Molecular Biology, 1851)

Applications of Evolutionary Computing: EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, ... (Lecture Notes in Computer Science, 3907)

Computing for Biologists: Python Programming And Principles

Genome Clustering: From Linguistic Models to Classification of Genetic Texts: 286 (Studies in Computational Intelligence, 286)

Computational Biology and Bioinformatics: Gene Regulation

Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems)

Understanding Bioinformatics

Applications of Evolutionary Computing: EvoWorkshop 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM, Essex, UK, April 14-16, 2003, ... (Lecture Notes in Computer Science, 2611)

Applications of Evolutionary Computing: EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog: 4974 (Lecture Notes in Computer Science, 4974)

Evolution in Action: Past, Present and Future: A Festschrift in Honor of Erik D. Goodman (Genetic and Evolutionary Computation)

Knowledge Incorporation in Evolutionary Computation: 167 (Studies in Fuzziness and Soft Computing, 167)

Evolutionary Computation and Complex Networks

Textbook Of Bioinformatics, A: Information-theoretic Perspectives Of Bioengineering And Biological Complexes

Python for Bioinformatics (Jones and Bartlett Series in Biomedical Informatics)

Molecular Evolution: A Statistical Approach

Computational Molecular Evolution (Oxford Series in Ecology and Evolution)

Evolution as Computation: DIMACS Workshop, Princeton, January 1999 (Natural Computing Series)