Fuzzy systems in bioinformatics and computational biology
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In...
محفوظ في:
| مؤلفون آخرون: | , , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الطبعة: | 1st ed. 2009. |
| سلاسل: | Studies in Fuzziness and Soft Computing
242 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fuzzy systems in bioinformatics and computational biology, Yaochu Jin and Lipo Wang, Berlin, Springer, 2009, 1 vol. (XVI-330 p.), Studies in fuzziness and soft computing, 978-3-540-89967-9 • Fuzzy Systems in Bioinformatics and Computational Biology, Texte imprimé, 9783540899693 • Fuzzy Systems in Bioinformatics and Computational Biology, Texte imprimé, 9783642100680 • Fuzzy systems in bioinformatics and computational biology, Yaochu Jin and Lipo Wang, Berlin, Springer, 2009, 1 vol. (XVI-330 p.), Studies in fuzziness and soft computing, 978-3-540-89967-9 • Fuzzy Systems in Bioinformatics and Computational Biology, Texte imprimé, 9783662601822 |
جدول المحتويات:
- Induction of Fuzzy Rules by Means of Artificial Immune Systems in Bioinformatics Fuzzy Genome Sequence Assembly for Single and Environmental Genomes A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes Fuzzy Vector Filters for cDNA Microarray Image Processing Microarray Data Analysis Using Fuzzy Clustering Algorithms Fuzzy Patterns and GCS Networks to Clustering Gene Expression Data Gene Expression Analysis by Fuzzy and Hybrid Fuzzy Classification Detecting Gene Regulatory Networks from Microarray Data Using Fuzzy Logic Fuzzy System Methods in Modeling Gene Expression and Analyzing Protein Networks Evolving a Fuzzy Rulebase to Model Gene Expression Infer Genetic/Transcriptional Regulatory Networks by Recognition of Microarray Gene Expression Patterns Using Adaptive Neuro-Fuzzy Inference Systems Scalable Dynamic Fuzzy Biomolecular Network Models for Large Scale Biology Fuzzy C-Means Techniques for Medical Image Segmentation Monitoring and Control of Anesthesia Using Multivariable Self-Organizing Fuzzy Logic Structure Interval Type-2 Fuzzy System for ECG Arrhythmic Classification Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks.