Computational Intelligence in Biomedicine and Bioinformatics

Current Trends and Applications
2008
ISBN: 978-3-540-70776-9
Verlag: Springer

Buch, Englisch, Band 151, 432 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 692 g

Reihe: Studies in Computational Intelligence

orientedapplications,sothatresearchersworkinginthose?eldscouldlearnofnew methodstohelpthemtackletheirproblems. Ontheotherhand,wealsohopethat the CI community will ?nd this book useful by discovering a new and intriguing area of applications.

Zielgruppe

Research

Autoren/Hrsg.

Smolinski, Tomasz G.

Milanova, Mariofanna G.

Hassanien, Aboul-Ella

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
• Naturwissenschaften Biowissenschaften Biowissenschaften
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien

Inhaltsverzeichnis

Techniques and Methodologies.- Computational Intelligence in Solving Bioinformatics Problems: Reviews, Perspectives, and Challenges.- Data Mining and Genetic Algorithms: Finding Hidden Meaning in Biological and Biomedical Data.- The Use of Rough Sets as a Data Mining Tool for Experimental Bio-data.- Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support.- Computational Intelligence in Biomedicine.- Data-Mining of Time-Domain Features from Neural Extracellular Field Data.- Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers.- Computational Intelligence Techniques in Image Segmentation for Cytopathology.- Curvature Flow Based 3D Surface Evolution Model for Polyp Detection and Visualization in CT Colonography.- Assisting Cancer Diagnosis with Fuzzy Neural Networks.- Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study.- Computational Intelligence in Bioinformatics.- Artificial Immune Systems in Bioinformatics.- Evolutionary Algorithms for the Protein Folding Problem: A Review and Current Trends.- Flexible Protein Folding by Ant Colony Optimization.- Considering Stem-Loops as Sequence Signals for Finding Ribosomal RNA Genes.- Power-Law Signatures and Patchiness in Genechip Oligonucleotide Microarrays.- Case Study: Structure and Function Prediction of a Protein with No Functionally Characterized Homolog.- From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions.