Computational Intelligence in Bioinformatics

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kelemen, Arpad (Editor), Abraham, Ajith (Editor), Chen, Yuehui (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Studies in Computational Intelligence, 94
• Subjects: Life sciences.; Artificial intelligence.; Bioinformatics.; Applied mathematics.; Engineering mathematics.; Life Sciences.; Life Sciences, general.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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...

Table of Contents:

• 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.