Computational intelligence in bioinformatics / (Record no. 42182)
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fixed length control field | 08646nam a2201153 i 4500 |
001 - CONTROL NUMBER | |
control field | 5361011 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | IEEE |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20191218152118.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr |n||||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 071221t20152007nyua o 000 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780470199091 |
Qualifying information | electronic |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9780470105269 |
Qualifying information | |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 0470199091 |
Qualifying information | electronic |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1002/9780470199091 |
Source of number or code | doi |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (CaBNVSL)mat05361011 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (IDAMS)0b0000648117880f |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | CaBNVSL |
Language of cataloging | eng |
Description conventions | rda |
Transcribing agency | CaBNVSL |
Modifying agency | CaBNVSL |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QH324.2 |
Item number | .C636 2007eb |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 572.028563 |
Edition number | 22 |
245 00 - TITLE STATEMENT | |
Title | Computational intelligence in bioinformatics / |
Statement of responsibility, etc. | edited by Gary B. Fogel, David W. Corne and Yi Pan. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | [Hoboken, New Jersey] : |
Name of producer, publisher, distributor, manufacturer | Wiley-IEEE, |
Date of production, publication, distribution, manufacture, or copyright notice | 2007. |
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
Date of production, publication, distribution, manufacture, or copyright notice | [2007] |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 PDF (xix, 355 pages) : |
Other physical details | illustrations. |
336 ## - CONTENT TYPE | |
Content type term | text |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | electronic |
Source | isbdmedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Source | rdacarrier |
490 1# - SERIES STATEMENT | |
Series statement | IEEE press series on computational intelligence ; |
Volume/sequential designation | 7 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Preface -- Contributors -- Part One Gene Expression Analysis and Systems Biology -- 1. Hybrid of Neural Classifi er and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures (Rui Xu, Georgios C. Anagnostopoulos, and Donald C. Wunsch II) -- 1.1 Introduction -- 1.2 Methods and Systems -- 1.3 Experimental Results -- 1.4 Conclusions -- 2. Classifying Gene Expression Profi les with Evolutionary Computation (Jin-Hyuk Hong and Sung-Bae Cho) -- 2.1 DNA Microarray Data Classifi cation -- 2.2 Evolutionary Approach to the Problem -- 2.3 Gene Selection with Speciated Genetic Algorithm -- 2.4 Cancer Classifi ction Based on Ensemble Genetic Programming -- 2.5 Conclusion -- 3. Finding Clusters in Gene Expression Data Using EvoCluster (Patrick C. H. Ma, Keith C. C. Chan, and Xin Yao) -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Evolutionary Clustering Algorithm -- 3.4 Experimental Results -- 3.5 Conclusions -- 4. Gene Networks and Evolutionary Computation (Jennifer Hallinan) -- 4.1 Introduction -- 4.2 Evolutionary Optimization -- 4.3 Computational Network Modeling -- 4.4 Extending Reach of Gene Networks -- 4.5 Network Topology Analysis -- 4.6 Summary -- Part Two Sequence Analysis and Feature Detection -- 5. Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data (Yuanchen He, Yuchun Tang, Yan-Qing Zhang, and Rajshekhar Sunderraman) -- 5.1 Introduction -- 5.2 Traditional Algorithms for Gene Selection -- 5.3 New Fuzzy-Granular-Based Algorithm for Gene Selection -- 5.4 Simulation -- 5.5 Conclusions -- 6. Evolutionary Feature Selection for Bioinformatics (Laetitia Jourdan, Clarisse Dhaenens, and El-Ghazali Talbi) -- 6.1 Introduction -- 6.2 Evolutionary Algorithms for Feature Selection -- 6.3 Feature Selection for Clustering in Bioinformatics -- 6.4 Feature Selection for Classifi cation in Bioinformatics -- 6.5 Frameworks and Data Sets -- 6.6 Conclusion -- 7. Fuzzy Approaches for the Analysis CpG Island Methylation Patterns (Ozy Sjahputera, Mihail Popescu, James M. Keller, and Charles W. Caldwell). |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 7.1 Introduction -- 7.2 Methods -- 7.3 Biological Signifi cance -- 7.4 Conclusions -- Part Three Molecular Structure and Phylogenetics -- 8. Protein-Ligand Docking with Evolutionary Algorithms(Rene Thomsen) -- 8.1 Introduction -- 8.2 Biochemical Background -- 8.3 The Docking Problem -- 8.4 Protein-Ligand Docking Algorithms -- 8.5 Evolutionary Algorithms -- 8.6 Effect of Variation Operators -- 8.7 Differential Evolution -- 8.8 Evaluating Docking Methods -- 8.9 Comparison between Docking Methods -- 8.10 Summary -- 8.11 Future Research Topics -- 9. RNA Secondary Structure Prediction Employing Evolutionary Algorithms (Kay C. Wiese, Alain A. Deschanes, and Andrew G. Hendriks) -- 9.1 Introduction -- 9.2 Thermodynamic Models -- 9.3 Methods -- 9.4 Results -- 9.5 Conclusion -- 10. Machine Learning Approach for Prediction of Human Mitochondrial Proteins (Zhong Huang, Xuheng Xu, and Xiaohua Hu) -- 10.1 Introduction -- 10.2 Methods and Systems -- 10.3 Results and Discussion -- 10.4 Conclusions -- 11. Phylogenetic Inference Using Evolutionary Algorithms(Clare Bates Congdon) -- 11.1 Introduction -- 11.2 Background in Phylogenetics -- 11.3 Challenges and Opportunities for Evolutionary Computation -- 11.4 One Contribution of Evolutionary Computation: Graphyl -- 11.5 Some Other Contributions of Evolutionary computation -- 11.6 Open Questions and Opportunities -- Part Four Medicine -- 12. Evolutionary Algorithms for Cancer Chemotherapy Optimization (John McCall, Andrei Petrovski, and Siddhartha Shakya) -- 12.1 Introduction -- 12.2 Nature of Cancer -- 12.3 Nature of Chemotherapy -- 12.4 Models of Tumor Growth and Response -- 12.5 Constraints on Chemotherapy -- 12.6 Optimal Control Formulations of Cancer Chemotherapy -- 12.7 Evolutionary Algorithms for Cancer Chemotherapy Optimization -- 12.8 Encoding and Evaluation -- 12.9 Applications of EAs to Chemotherapy Optimization Problems -- 12.10 Related Work -- 12.11 Oncology Workbench -- 12.12 Conclusion -- 13. Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement, and Query Answering from Biomedical Texts (Lipika Dey and Muhammad Abulaish). |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 13.1 Introduction -- 13.2 Brief Introduction to Ontologies -- 13.3 Information Retrieval form Biological Text Documents: Related Work -- 13.4 Ontology-Based IE and Knowledge Enhancement System -- 13.5 Document Processor -- 13.6 Biological Relation Extractor -- 13.7 Relation-Based Query Answering -- 13.8 Evaluation of the Biological Relation Extraction Process -- 13.9 Biological Relation Characterizer -- 13.10 Determining Strengths of Generic Biological Relations -- 13.11 Enhancing GENIA to Fuzzy Relational Ontology -- 13.12 Conclusions and Future Work -- References -- Appendix Feasible Biological Relations -- Index. |
506 1# - RESTRICTIONS ON ACCESS NOTE | |
Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Combining biology, computer science, mathematics, and statistics, the field of bioinformatics has become a hot new discipline with profound impacts on all aspects of biology and industrial application. Now, Computational Intelligence in Bioinformatics offers an introduction to the topic, covering the most relevant and popular CI methods, while also encouraging the implementation of these methods to readers' research. |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
Additional physical form available note | Also available in print. |
538 ## - SYSTEM DETAILS NOTE | |
System details note | Mode of access: World Wide Web |
588 ## - SOURCE OF DESCRIPTION NOTE | |
Source of description note | Description based on PDF viewed 12/21/2015. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Bioinformatics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computational intelligence. |
655 #0 - INDEX TERM--GENRE/FORM | |
Genre/form data or focus term | Electronic books. |
695 ## - | |
-- | Accuracy |
695 ## - | |
-- | Algorithm design and analysis |
695 ## - | |
-- | Amino acids |
695 ## - | |
-- | Arrays |
695 ## - | |
-- | Bioinformatics |
695 ## - | |
-- | Biological cells |
695 ## - | |
-- | Biological system modeling |
695 ## - | |
-- | Biomembranes |
695 ## - | |
-- | Cancer |
695 ## - | |
-- | Chemicals |
695 ## - | |
-- | Cloning |
695 ## - | |
-- | Clustering algorithms |
695 ## - | |
-- | Computational modeling |
695 ## - | |
-- | DNA |
695 ## - | |
-- | Drugs |
695 ## - | |
-- | Dynamic programming |
695 ## - | |
-- | Ellipsoids |
695 ## - | |
-- | Encoding |
695 ## - | |
-- | Evolution (biology) |
695 ## - | |
-- | Evolutionary computation |
695 ## - | |
-- | Gene expression |
695 ## - | |
-- | Genomics |
695 ## - | |
-- | Heart |
695 ## - | |
-- | Humans |
695 ## - | |
-- | Indexes |
695 ## - | |
-- | Liver |
695 ## - | |
-- | Lungs |
695 ## - | |
-- | Mathematical model |
695 ## - | |
-- | Measurement |
695 ## - | |
-- | Neurons |
695 ## - | |
-- | Noise measurement |
695 ## - | |
-- | Ontologies |
695 ## - | |
-- | Optimization |
695 ## - | |
-- | Particle swarm optimization |
695 ## - | |
-- | Peptides |
695 ## - | |
-- | Phylogeny |
695 ## - | |
-- | Plasmas |
695 ## - | |
-- | Prediction algorithms |
695 ## - | |
-- | Probes |
695 ## - | |
-- | Protein engineering |
695 ## - | |
-- | Proteins |
695 ## - | |
-- | RNA |
695 ## - | |
-- | Sections |
695 ## - | |
-- | Space exploration |
695 ## - | |
-- | Strain |
695 ## - | |
-- | Subspace constraints |
695 ## - | |
-- | Support vector machines |
695 ## - | |
-- | Thermodynamics |
695 ## - | |
-- | Training |
695 ## - | |
-- | Tumors |
695 ## - | |
-- | Vegetation |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Corne, David. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Pan, Yi. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Fogel, Gary, |
Dates associated with a name | 1968- |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | John Wiley & Sons, |
Relator term | publisher. |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | IEEE Xplore (Online service), |
Relator term | distributor. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Print version: |
International Standard Book Number | 9780470105269 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | IEEE press series on computational intelligence ; |
Volume/sequential designation | 7 |
856 42 - ELECTRONIC LOCATION AND ACCESS | |
Materials specified | Abstract with links to resource |
Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5361011 |
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