Computational Intelligence in Biomedicine and Bioinformatics

Chapter 2 Data Mining and Genetic Algorithms: Finding Hidden Meaning in Biological and Biomedical Data

Chapter 3 The Use of Rough Sets as a Data Mining Tool for Experimental Bio-data

Chapter 4 Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support

Chapter 5 Data-Mining of Time-Domain Features from Neural Extracellular Field Data

Chapter 6 Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers

Chapter 7 Computational Intelligence Techniques in Image Segmentation for Cytopathology

Chapter 8 Curvature Flow Based 3D Surface Evolution Model for Polyp Detection and Visualization in CT Colonography

Chapter 9 Assisting Cancer Diagnosis with Fuzzy Neural Networks

Chapter 10 Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study

Chapter 11 Artificial Immune Systems in Bioinformatics

Chapter 12 Evolutionary Algorithms for the Protein Folding Problem: A Review and Current Trends

Chapter 13 Computational Intelligence in Biomedicine and Bioinformatics

Chapter 14 Considering Stem-Loops as Sequence Signals for Finding Ribosomal RNA Genes

Chapter 15 Power-Law Signatures and Patchiness in Genechip Oligonucleotide Microarrays

Chapter 16 Case Study: Structure and Function Prediction of a Protein with No Functionally Characterized Homolog

Chapter 17 From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions