Fuzzy Systems in Bioinformatics and Computational Biology

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.

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• Inteligência artificial
• Computer-aided design (CAD)
• Matemática para engenheiros

bioinformatics;cognition;construction;fuzzy logic;fuzzy system;gene and promoter prediction;gene expression analysis;image processing;image segmentation;miroarray analysis;model;modeling;pairwise and multiple sequence alignment;phylogenetic analysis;protein and RNA structure prediction