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๐Ÿ“

Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications

โœ Scribed by Aboul-Ella Hassanien, Mariofanna G. Milanova, Tomasz G. Smolinski, Ajith Abraham (auth.), Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul-Ella Hassanien (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2008
Tongue
English
Leaves
435
Series
Studies in Computational Intelligence 151
Edition
1
Category
Library

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โœฆ Synopsis


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 other hand, the CI community will find this book useful by discovering a new and intriguing area of applications. In order to help fill the gap between the scientists on both sides of this spectrum, the editors have solicited contributions from researchers actively applying computational intelligence techniques to important problems in biomedicine and bioinformatics.

The book is divided into three major parts. Part I, Techniques and Methodologies, contains a selection of contributions that provide a review of several theories and methods that could be (or to some extent already are) of great benefit to practitioners in the fields of biomedicine and bioinformatics dealing with problems of data exploration and mining, search-space exploration, optimization, etc. Part II of this book, Computational Intelligence in Biomedicine, contains a collection of contributions on current state-of-the-art biomedical applications of CI in clinical oncology, neurology, pathology, and proteomics. Part II, Computational Intelligence in Biomedicine, contains a collection of chapters treating on applications of CI methods to solving bioinformatics problems including protein structure and function prediction, protein folding, finding ribosomal RNA genes, and microarray analysis.

โœฆ Table of Contents


Front Matter....Pages -
Front Matter....Pages 1-1
Computational Intelligence in Solving Bioinformatics Problems: Reviews, Perspectives, and Challenges....Pages 3-47
Data Mining and Genetic Algorithms: Finding Hidden Meaning in Biological and Biomedical Data....Pages 49-68
The Use of Rough Sets as a Data Mining Tool for Experimental Bio-data....Pages 69-91
Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support....Pages 93-116
Front Matter....Pages 117-117
Data-Mining of Time-Domain Features from Neural Extracellular Field Data....Pages 119-140
Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers....Pages 141-167
Computational Intelligence Techniques in Image Segmentation for Cytopathology....Pages 169-199
Curvature Flow Based 3D Surface Evolution Model for Polyp Detection and Visualization in CT Colonography....Pages 201-222
Assisting Cancer Diagnosis with Fuzzy Neural Networks....Pages 223-235
Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study....Pages 237-268
Front Matter....Pages 269-269
Artificial Immune Systems in Bioinformatics....Pages 271-295
Evolutionary Algorithms for the Protein Folding Problem: A Review and Current Trends....Pages 297-315
Flexible Protein Folding by Ant Colony Optimization....Pages 317-336
Considering Stem-Loops as Sequence Signals for Finding Ribosomal RNA Genes....Pages 337-357
Power-Law Signatures and Patchiness in Genechip Oligonucleotide Microarrays....Pages 359-377
Case Study: Structure and Function Prediction of a Protein with No Functionally Characterized Homolog....Pages 379-395
From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions....Pages 397-421
Back Matter....Pages -

โœฆ Subjects


Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Biomedicine general; Bioinformatics; Computer Appl. in Life Sciences


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