Computational Intelligence in Biomedicine and Bioinformatics Current Trends and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Smolinski, Tomasz G. (Επιμελητής έκδοσης), Milanova, Mariofanna G. (Επιμελητής έκδοσης), Hassanien, Aboul-Ella (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Computational Intelligence, 151
• Θέματα: Engineering.; Artificial intelligence.; Bioinformatics.; Computational biology.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Biomedicine general.; Computer Appl. in Life Sciences.

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...

Πίνακας περιεχομένων:

• 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.