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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書誌詳細
第一著者: Smolinski, Tomasz G. (出版デイレクター)
その他の著者: Milanova, Mariofanna G. (編集者, 出版デイレクター), Hassanien, Aboul-Ella (編集者), Kacprzyk, Janusz, 1947- (出版デイレクター), Hassanien, Aboul Ella, 1964- (出版デイレクター)
フォーマット: Livre numérique
言語:Anglais
出版事項: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
版:1st ed. 2008.
シリーズ:Studies in Computational Intelligence 151
オンライン・アクセス:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
注記: 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
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245 1 0 |a Computational Intelligence in Biomedicine and Bioinformatics :  |b Current Trends and Applications   |c edited by Janusz Kacprzyk, Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul-Ella Hassanien. 
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505 1 |a 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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520 |a 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 
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700 1 |a Hassanien, Aboul-Ella.  |4 edt 
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700 1 |a Milanova, Mariofanna G.  |4 pbd 
700 1 |a Hassanien, Aboul Ella,  |d 1964-  |4 pbd 
700 1 |a Smolinski, Tomasz G.  |4 pbd 
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