Computational Intelligence in Biomedicine and Bioinformatics (eBook)

Current Trends and Applications

Tomasz G. Smolinski, Mariofanna G Milanova, Aboul-Ella Hassanien (Herausgeber)

eBook Download: PDF

2008 | 2008
XXIV, 432 Seiten
Springer Berlin (Verlag)
978-3-540-70778-3 (ISBN)

Infos

The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.

Inhalt

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.

Produkt-Details

• Erscheint lt. Verlag: 29.1.2009
• Reihe/Serie: Studies in Computational Intelligence
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Technik
• Schlagworte: algorithms • Bioinformatics • biomedicine • Computational Intelligence • Data Mining • Evolution • evolutionary algorithm • Genetic algorithms • Informatics • Intelligence • knowledge base • linear optimization • Modeling • Ontology • Optimization
• ISBN-10: 3-540-70778-6 / 3540707786
• ISBN-13: 978-3-540-70778-3 / 9783540707783