Fuzzy Systems in Bioinformatics and Computational Biology

Inbunden, Engelska, 2009

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Biological systems are inherently stochastic and uncertain. This book shows how fuzzy logic, a powerful tool in capturing uncertainties in engineering systems, has in recent years become popular in analyzing biological data and modeling biological systems.

Produktinformation

Utgivningsdatum2009-04-15
Mått155 x 235 x 26 mm
Vikt772 g
FormatInbunden
SpråkEngelska
SerieStudies in Fuzziness and Soft Computing
Antal sidor332
Upplaga2009
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540899679

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Teknik: allmänt inom Naturvetenskap och teknik
Artificiell intelligens inom Data och it
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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.