Computational Intelligence in Bioinformatics
1st Edition
Published on 3. January 2008
Book
Hardback
XVI, 326 pages
978-3-540-76802-9 (ISBN)
Description
Bioinformatics involve the creation and advancement of algorithms using techniques including computational intelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level. Major research efforts in the field include sequence analysis, gene finding, genome annotation, protein structure alignment analysis and prediction, prediction of gene expression, protein-protein docking/interactions, and the modeling of evolution.
This book deals with the application of computational intelligence in bioinformatics. Addressing the various issues of bioinformatics using different computational intelligence approaches is the novelty of this edited volume.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XVI, 326 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 25 mm
Weight
682 gr
ISBN-13
978-3-540-76802-9 (9783540768029)
DOI
10.1007/978-3-540-76803-6
Schweitzer Classification
Other editions
Additional editions
Arpad Kelemen | Ajith Abraham | Yuehui Chen
Computational Intelligence in Bioinformatics
Book
11/2010
Springer
€160.49
Shipment within 7-9 days
Arpad Kelemen | Ajith Abraham | Yuehui Chen
Computational Intelligence in Bioinformatics
E-Book
01/2008
Springer
€149.79
Available for download
Persons
Content
Computational Intelligence Algorithms and DNA Microarrays.- Inferring Gene Regulatory Networks from Expression Data.- Belief Networks for Bioinformatics.- Swarm Intelligence Algorithms in Bioinformatics.- Time Course Gene Expression Classification with Time Lagged Recurrent Neural Network.- Tree-Based Algorithms for Protein Classification.- Covariance-Model-Based RNA Gene Finding: Using Dynamic Programming versus Evolutionary Computing.- Fuzzy Classification for Gene Expression Data Analysis.- Towards the Enhancement of Gene Selection Performance.- Saccharomyces pombe and Saccharomyces cerevisiae Gene Regulatory Network Inference Using the Fuzzy Logic Network.- Multivariate Regression Applied to Gene Expression Dynamics.- The Amine System Project: Systems Biology in Practice.- DNA Encoding Methods in the Field of DNA Computing.