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...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2009, 2009
|
| Edition: | 1st ed. 2009 |
| Series: | Studies in Fuzziness and Soft Computing
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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