{"product_id":"computational-intelligence-in-bioinformatics-hardback-9780470105269","title":"Computational Intelligence in Bioinformatics (Hardback) 9780470105269","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eComputational Intelligence in Bioinformatics\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eGary B. Fogel (Edited by), David W. Corne (Edited by), Yi Pan (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470105269, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 11 January 2008\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e376 pages, Photos: 0 B\u0026amp;W, 0 Color; Drawings: 30 B\u0026amp;W, 0 Color; Screen captures: 2 B\u0026amp;W, 0 Color; Graphs: 34 B\u0026amp;W, 0 Color\u003cbr\u003e24.3 x 16.3 x 2.4 cm, 0.662 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eCombining 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, \u003ci\u003eComputational Intelligence in Bioinformatics\u003c\/i\u003e 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface.  \u003cp\u003eContributors.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart One Gene Expression Analysis and Systems Biology.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Hybrid of Neural Classifi er and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures\u003c\/b\u003e (Rui Xu, Georgios C. Anagnostopoulos, and Donald C. Wunsch II).\u003c\/p\u003e \u003cp\u003e1.1 Introduction.\u003c\/p\u003e \u003cp\u003e1.2 Methods and Systems.\u003c\/p\u003e \u003cp\u003e1.3 Experimental Results.\u003c\/p\u003e \u003cp\u003e1.4 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Classifying Gene Expression Profi les with Evolutionary Computation\u003c\/b\u003e (Jin-Hyuk Hong and Sung-Bae Cho).\u003c\/p\u003e \u003cp\u003e2.1 DNA Microarray Data Classifi cation.\u003c\/p\u003e \u003cp\u003e2.2 Evolutionary Approach to the Problem.\u003c\/p\u003e \u003cp\u003e2.3 Gene Selection with Speciated Genetic Algorithm.\u003c\/p\u003e \u003cp\u003e2.4 Cancer Classifi ction Based on Ensemble Genetic Programming.\u003c\/p\u003e \u003cp\u003e2.5 Conclusion.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Finding Clusters in Gene Expression Data Using EvoCluster\u003c\/b\u003e (Patrick C. H. Ma, Keith C. C. Chan, and Xin Yao).\u003c\/p\u003e \u003cp\u003e3.1 Introduction.\u003c\/p\u003e \u003cp\u003e3.2 Related Work.\u003c\/p\u003e \u003cp\u003e3.3 Evolutionary Clustering Algorithm.\u003c\/p\u003e \u003cp\u003e3.4 Experimental Results.\u003c\/p\u003e \u003cp\u003e3.5 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Gene Networks and Evolutionary Computation\u003c\/b\u003e (Jennifer Hallinan).\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e4.1 Introduction.\u003c\/p\u003e \u003cp\u003e4.2 Evolutionary Optimization.\u003c\/p\u003e \u003cp\u003e4.3 Computational Network Modeling.\u003c\/p\u003e \u003cp\u003e4.4 Extending Reach of Gene Networks.\u003c\/p\u003e \u003cp\u003e4.5 Network Topology Analysis.\u003c\/p\u003e \u003cp\u003e4.6 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart Two Sequence Analysis and Feature Detection.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data\u003c\/b\u003e (Yuanchen He, Yuchun Tang, Yan-Qing Zhang, and Rajshekhar Sunderraman).\u003c\/p\u003e \u003cp\u003e5.1 Introduction.\u003c\/p\u003e \u003cp\u003e5.2 Traditional Algorithms for Gene Selection.\u003c\/p\u003e \u003cp\u003e5.3 New Fuzzy-Granular-Based Algorithm for Gene Selection.\u003c\/p\u003e \u003cp\u003e5.4 Simulation.\u003c\/p\u003e \u003cp\u003e5.5 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Evolutionary Feature Selection for Bioinformatics\u003c\/b\u003e (Laetitia Jourdan, Clarisse Dhaenens, and El-Ghazali Talbi).\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 Evolutionary Algorithms for Feature Selection.\u003c\/p\u003e \u003cp\u003e6.3 Feature Selection for Clustering in Bioinformatics.\u003c\/p\u003e \u003cp\u003e6.4 Feature Selection for Classifi cation in Bioinformatics.\u003c\/p\u003e \u003cp\u003e6.5 Frameworks and Data Sets.\u003c\/p\u003e \u003cp\u003e6.6 Conclusion.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Fuzzy Approaches for the Analysis CpG Island Methylation Patterns\u003c\/b\u003e (Ozy Sjahputera, Mihail Popescu, James M. Keller, and Charles W. Caldwell).\u003c\/p\u003e \u003cp\u003e7.1 Introduction.\u003c\/p\u003e \u003cp\u003e7.2 Methods.\u003c\/p\u003e \u003cp\u003e7.3 Biological Signifi cance.\u003c\/p\u003e \u003cp\u003e7.4 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart Three Molecular Structure and Phylogenetics.\u003c\/b\u003e\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Protein–Ligand Docking with Evolutionary Algorithms\u003c\/b\u003e(René Thomsen).\u003c\/p\u003e \u003cp\u003e8.1 Introduction.\u003c\/p\u003e \u003cp\u003e8.2 Biochemical Background.\u003c\/p\u003e \u003cp\u003e8.3 The Docking Problem.\u003c\/p\u003e \u003cp\u003e8.4 Protein–Ligand Docking Algorithms.\u003c\/p\u003e \u003cp\u003e8.5 Evolutionary Algorithms.\u003c\/p\u003e \u003cp\u003e8.6 Effect of Variation Operators.\u003c\/p\u003e \u003cp\u003e8.7 Differential Evolution.\u003c\/p\u003e \u003cp\u003e8.8 Evaluating Docking Methods.\u003c\/p\u003e \u003cp\u003e8.9 Comparison between Docking Methods.\u003c\/p\u003e \u003cp\u003e8.10 Summary.\u003c\/p\u003e \u003cp\u003e8.11 Future Research Topics.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. RNA Secondary Structure Prediction Employing Evolutionary Algorithms\u003c\/b\u003e (Kay C. Wiese, Alain A. Deschênes, and Andrew G. Hendriks).\u003c\/p\u003e \u003cp\u003e9.1 Introduction.\u003c\/p\u003e \u003cp\u003e9.2 Thermodynamic Models.\u003c\/p\u003e \u003cp\u003e9.3 Methods.\u003c\/p\u003e \u003cp\u003e9.4 Results.\u003c\/p\u003e \u003cp\u003e9.5 Conclusion.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Machine Learning Approach for Prediction of Human Mitochondrial Proteins\u003c\/b\u003e (Zhong Huang, Xuheng Xu, and Xiaohua Hu).\u003c\/p\u003e \u003cp\u003e10.1 Introduction.\u003c\/p\u003e \u003cp\u003e10.2 Methods and Systems.\u003c\/p\u003e \u003cp\u003e10.3 Results and Discussion.\u003c\/p\u003e \u003cp\u003e10.4 Conclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Phylogenetic Inference Using Evolutionary Algorithms\u003c\/b\u003e(Clare Bates Congdon).\u003c\/p\u003e \u003cp\u003e11.1 Introduction.\u003c\/p\u003e \u003cp\u003e11.2 Background in Phylogenetics.\u003c\/p\u003e \u003cp\u003e11.3 Challenges and Opportunities for Evolutionary Computation.\u003c\/p\u003e \u003cp\u003e11.4 One Contribution of Evolutionary Computation: Graphyl.\u003c\/p\u003e \u003cp\u003e11.5 Some Other Contributions of Evolutionary computation.\u003c\/p\u003e \u003cp\u003e11.6 Open Questions and Opportunities.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart Four Medicine.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Evolutionary Algorithms for Cancer Chemotherapy Optimization\u003c\/b\u003e (John McCall, Andrei Petrovski, and Siddhartha Shakya).\u003c\/p\u003e \u003cp\u003e12.1 Introduction.\u003c\/p\u003e \u003cp\u003e12.2 Nature of Cancer.\u003c\/p\u003e \u003cp\u003e12.3 Nature of Chemotherapy.\u003c\/p\u003e \u003cp\u003e12.4 Models of Tumor Growth and Response.\u003c\/p\u003e \u003cp\u003e12.5 Constraints on Chemotherapy.\u003c\/p\u003e \u003cp\u003e12.6 Optimal Control Formulations of Cancer Chemotherapy.\u003c\/p\u003e \u003cp\u003e12.7 Evolutionary Algorithms for Cancer Chemotherapy Optimization.\u003c\/p\u003e \u003cp\u003e12.8 Encoding and Evaluation.\u003c\/p\u003e \u003cp\u003e12.9 Applications of EAs to Chemotherapy Optimization Problems.\u003c\/p\u003e \u003cp\u003e12.10 Related Work.\u003c\/p\u003e \u003cp\u003e12.11 Oncology Workbench.\u003c\/p\u003e \u003cp\u003e12.12 Conclusion.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement, and Query Answering from Biomedical Texts\u003c\/b\u003e (Lipika Dey and Muhammad Abulaish).\u003c\/p\u003e \u003cp\u003e13.1 Introduction.\u003c\/p\u003e \u003cp\u003e13.2 Brief Introduction to Ontologies.\u003c\/p\u003e \u003cp\u003e13.3 Information Retrieval form Biological Text Documents: Related Work.\u003c\/p\u003e \u003cp\u003e13.4 Ontology-Based IE and Knowledge Enhancement System.\u003c\/p\u003e \u003cp\u003e13.5 Document Processor.\u003c\/p\u003e \u003cp\u003e13.6 Biological Relation Extractor.\u003c\/p\u003e \u003cp\u003e13.7 Relation-Based Query Answering.\u003c\/p\u003e \u003cp\u003e13.8 Evaluation of the Biological Relation Extraction Process.\u003c\/p\u003e \u003cp\u003e13.9 Biological Relation Characterizer.\u003c\/p\u003e \u003cp\u003e13.10 Determining Strengths of Generic Biological Relations.\u003c\/p\u003e \u003cp\u003e13.11 Enhancing GENIA to Fuzzy Relational Ontology.\u003c\/p\u003e \u003cp\u003e13.12 Conclusions and Future Work.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eAppendix Feasible Biological Relations.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand New","offer_id":52257071038744,"sku":"9780470105269","price":72.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470105269.jpg?v=1781276279","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/computational-intelligence-in-bioinformatics-hardback-9780470105269","provider":"Freshly Printed Books","version":"1.0","type":"link"}