Bioinformatics Using Computational Intelligence Paradigms
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...
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| Corporate Author: | |
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2005.
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| Edition: | 1st ed. 2005. |
| Series: | Studies in Fuzziness and Soft Computing,
176 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/b13301 |
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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.