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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Autor principal: Smolinski, Tomasz G. (Director editorial)
Altres autors: Milanova, Mariofanna G. (Editor, Director editorial), Hassanien, Aboul-Ella (Editor), Kacprzyk, Janusz, 1947- (Director editorial), Hassanien, Aboul Ella, 1964- (Director editorial)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edició:1st ed. 2008.
Col·lecció:Studies in Computational Intelligence 151
Accés en línia:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Computational Intelligence in Biomedicine and Bioinformatics, Texte imprimé, 9783540707769
• Computational Intelligence in Biomedicine and Bioinformatics, Texte imprimé, 9783540866947
• Computational Intelligence in Biomedicine and Bioinformatics, Texte imprimé, 9783642089695
• Computational Intelligence in Biomedicine and Bioinformatics, Texte imprimé, 9783540707769
Taula de continguts:
  • 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