Computational Intelligence in Biomedicine and Bioinformatics Current Trends and Applications /

The purpose of this book is to provide an overview of powerful state-of-the-art methodologies that are currently utilized for biomedicine and/ or bioinformatics-oriented applications, so that researchers working in those fields could learn of new methods to help them tackle their problems. On the ot...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Smolinski, Tomasz G. (Editor ), Milanova, Mariofanna G. (Editor ), Hassanien, Aboul-Ella (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 151
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Medicine-Research.
Biology-Research.
Bioinformatics.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Biomedical Research.
Computational and Systems Biology.
Acceso en línea:Texto Completo
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.

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