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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| Hlavní autor: | |
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| Další autoři: | |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2005.
Cham : Springer Nature |
| Edice: | Studies in Fuzziness and Soft Computing
176 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Bioinformatics Using Computational Intelligence Paradigms, Texte imprimé, 9783642061738 • Bioinformatics Using Computational Intelligence Paradigms, Texte imprimé, 9783540803430 • Bioinformatics Using Computational Intelligence Paradigms, Texte imprimé, 9783540229018 |
Obsah:
- 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.