Computational Intelligence in Biomedicine and Bioinformatics : Current Trends and Applications /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Smolinski, Tomasz G. (Editor ), Milanova, Mariofanna G. (Editor ), Hassanien, Aboul-Ella. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 151
Materias:
Tabla de Contenidos:
  • 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.