Computational Intelligence in Bioinformatics

✍ Scribed by D. K. Tasoulis, V. P. Plagianakos (auth.), Arpad Kelemen, Ajith Abraham, Yuehui Chen (eds.)

• Publisher: Springer
• Year: 2008
• Tongue: English
• Leaves: 326
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XVI
Computational Intelligence Algorithms and DNA Microarrays....Pages 1-31
Inferring Gene Regulatory Networks from Expression Data....Pages 33-74
Belief Networks for Bioinformatics....Pages 75-111
Swarm Intelligence Algorithms in Bioinformatics....Pages 113-147
Time Course Gene Expression Classification with Time Lagged Recurrent Neural Network....Pages 149-163
Tree-Based Algorithms for Protein Classification....Pages 165-182
Covariance-Model-Based RNA Gene Finding: Using Dynamic Programming versus Evolutionary Computing....Pages 183-208
Fuzzy Classification for Gene Expression Data Analysis....Pages 209-218
Towards the Enhancement of Gene Selection Performance....Pages 219-236
Saccharomyces pombe and Saccharomyces cerevisiae Gene Regulatory Network Inference Using the Fuzzy Logic Network....Pages 237-256
Multivariate Regression Applied to Gene Expression Dynamics....Pages 257-275
The Amine System Project: Systems Biology in Practice....Pages 277-292
DNA Encoding Methods in the Field of DNA Computing....Pages 293-322
Back Matter....Pages 323-326

✦ Subjects

Bioinformatics