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Computational Intelligence in Biomedicine and Bioinformatics

Current Trends and Applications

Medium: Buch
ISBN: 978-3-642-08969-5
Verlag: Springer
Erscheinungstermin: 28.10.2010
Lieferfrist: bis zu 10 Tage

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


Produkteigenschaften


  • Artikelnummer: 9783642089695
  • Medium: Buch
  • ISBN: 978-3-642-08969-5
  • Verlag: Springer
  • Erscheinungstermin: 28.10.2010
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2008. Corr 2. printing. Softcover version of original hardcover Auflage 2008
  • Serie: Studies in Computational Intelligence
  • Produktform: Kartoniert, Previously published in hardcover
  • Gewicht: 686 g
  • Seiten: 432
  • Format (B x H x T): 155 x 235 x 25 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.