Bioinformatics Using Computational Intelligence Paradigms

• Corporate Author: SpringerLink (Online service)
• Other Authors: Seiffert, Udo (Editor), Jain, Lakhmi C. (Editor), Schweizer, Patric (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Series: Studies in Fuzziness and Soft Computing, 176
• Subjects: Computer science.; Biotechnology.; Computers.; Artificial intelligence.; Bioinformatics.; Applied mathematics.; Engineering mathematics.; Computational intelligence.; Computer Science.; Theory of Computation.; Computational Intelligence.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

Bioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. "Bioinformatics using Computational Intelligence Paradigms" contains recent theoretical a...

Table of Contents:

• Medical Bioinformatics: Detecting Molecular Diseases with Case-Based Reasoning
• Prototype Based Recognition of Splice Sites
• Contact Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks
• Discriminative Clustering of Yeast Stress Response
• A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle
• Class Prediction with Microarray Datasets
• Random Voronoi Ensembles for Gene Selection in DNA Microarray Data
• Cancer Classification with Microarray Data Using Support Vector Machines
• Artificial Neural Networks for Reducing the Dimensionality of Gene Expression Data.