{"product_id":"genomics-and-proteomics-engineering-in-medicine-and-biology-hardback-9780471631811","title":"Genomics and Proteomics Engineering in Medicine and Biology (Hardback) 9780471631811","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eGenomics and Proteomics Engineering in Medicine and Biology\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\"\u003eMetin Akay (Edited by), M Akay (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780471631811, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 12 January 2007\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e320 pages\u003cbr\u003e24.1 x 16.3 x 2 cm, 0.572 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\"\u003e\u003cb\u003eCurrent applications and recent advances in genomics and proteomics\u003c\/b\u003e  \u003cp\u003e\u003ci\u003eGenomics and Proteomics Engineering in Medicine and Biology\u003c\/i\u003e presents a well-rounded, interdisciplinary discussion of a topic that is at the cutting edge of both molecular biology and bioengineering. Compiling contributions by established experts, this book highlights up-to-date applications of biomedical informatics, as well as advancements in genomics-proteomics areas. Structures and algorithms are used to analyze genomic data and develop computational solutions for pathological understanding.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics discussed include:\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eQualitative knowledge models\u003c\/li\u003e \u003cli\u003eInterpreting micro-array data\u003c\/li\u003e \u003cli\u003eGene regulation bioinformatics\u003c\/li\u003e \u003cli\u003eMethods to analyze micro-array\u003c\/li\u003e \u003cli\u003eCancer behavior and radiation therapy\u003c\/li\u003e \u003cli\u003eError-control codes and the genome\u003c\/li\u003e \u003cli\u003eComplex life science multi-database queries\u003c\/li\u003e \u003cli\u003eComputational protein analysis\u003c\/li\u003e \u003cli\u003eTumor and tumor suppressor proteins interactions\u003c\/li\u003e \u003c\/ul\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003eContributors xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Qualitative Knowledge Models in Functional Genomics and Proteomics 1\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMor Peleg, Irene S. Gabashvili, and Russ B. Altman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1. Introduction 1\u003c\/p\u003e \u003cp\u003e1.2. Methods and Tools 3\u003c\/p\u003e \u003cp\u003e1.3. Modeling Approach and Results 6\u003c\/p\u003e \u003cp\u003e1.4. Discussion 19\u003c\/p\u003e \u003cp\u003e1.5. Conclusion 20\u003c\/p\u003e \u003cp\u003eReferences 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Interpreting Microarray Data and Related Applications Using Nonlinear System Identification 25\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMichael Korenberg\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1. Introduction 25\u003c\/p\u003e \u003cp\u003e2.2. Background 25\u003c\/p\u003e \u003cp\u003e2.3. Parallel Cascade Identification 30\u003c\/p\u003e \u003cp\u003e2.4. Constructing Class Predictors 34\u003c\/p\u003e \u003cp\u003e2.5. Prediction Based on Gene Expression Profiling 35\u003c\/p\u003e \u003cp\u003e2.6. Comparing Different Predictors Over the Same Data Set 46\u003c\/p\u003e \u003cp\u003e2.7. Concluding Remarks 48\u003c\/p\u003e \u003cp\u003eReferences 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Gene Regulation Bioinformatics of Microarray Data 55\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eGert Thijs, Frank De Smet, Yves Moreau, Kathleen Marchal, and Bart De Moor\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1. Introduction 55\u003c\/p\u003e \u003cp\u003e3.2. Introduction to Transcriptional Regulation 57\u003c\/p\u003e \u003cp\u003e3.3. Measuring Gene Expression Profiles 59\u003c\/p\u003e \u003cp\u003e3.4. Preprocessing of Data 61\u003c\/p\u003e \u003cp\u003e3.5. Clustering of Gene Expression Profiles 63\u003c\/p\u003e \u003cp\u003e3.6. Cluster Validation 70\u003c\/p\u003e \u003cp\u003e3.7. Searching for Common Binding Sites of Coregulated Genes 76\u003c\/p\u003e \u003cp\u003e3.8. Inclusive: Online Integrated Analysis of Microarray Data 87\u003c\/p\u003e \u003cp\u003e3.9. Further Integrative Steps 89\u003c\/p\u003e \u003cp\u003e3.10. Conclusion 90\u003c\/p\u003e \u003cp\u003eReferences 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Robust Methods for Microarray Analysis 99\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eGeorge S. Davidson, Shawn Martin, Kevin W. Boyack, Brian N. Wylie, Juanita Martinez, Anthony Aragon, Margaret Werner-Washburne, Mónica Mosquera-Caro, and Cheryl Willman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1. Introduction 99\u003c\/p\u003e \u003cp\u003e4.2. Microarray Experiments and Analysis Methods 100\u003c\/p\u003e \u003cp\u003e4.3. Unsupervised Methods 103\u003c\/p\u003e \u003cp\u003e4.4. Supervised Methods 117\u003c\/p\u003e \u003cp\u003e4.5. Conclusion 127\u003c\/p\u003e \u003cp\u003eReferences 128\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. In Silico Radiation Oncology: A Platform for Understanding Cancer Behavior and Optimizing Radiation Therapy Treatment 131\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eG. Stamatakos, D. Dionysiou, and N. Uzunoglu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1. Philosophiae Tumoralis Principia Algorithmica: Algorithmic Principles of Simulating Cancer on Computer 131\u003c\/p\u003e \u003cp\u003e5.2. Brief Literature Review 133\u003c\/p\u003e \u003cp\u003e5.3. Paradigm of Four-Dimensional Simulation of Tumor Growth and Response to Radiation Therapy In Vivo 135\u003c\/p\u003e \u003cp\u003e5.4. Discussion 148\u003c\/p\u003e \u003cp\u003e5.5. Future Trends 150\u003c\/p\u003e \u003cp\u003eReferences 150\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Genomewide Motif Identification Using a Dictionary Model 157\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eChiara Sabatti and Kenneth Lange\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1. Introduction 157\u003c\/p\u003e \u003cp\u003e6.2. Unified Model 160\u003c\/p\u003e \u003cp\u003e6.3. Algorithms for Likelihood Evaluation 164\u003c\/p\u003e \u003cp\u003e6.4. Parameter Estimation via Minorization–Maximization Algorithm 167\u003c\/p\u003e \u003cp\u003e6.5. Examples 170\u003c\/p\u003e \u003cp\u003e6.6. Discussion and Conclusion 171\u003c\/p\u003e \u003cp\u003eReferences 172\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Error Control Codes and the Genome 173\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eElebeoba E. May\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1. Error Control and Communication: A Review 173\u003c\/p\u003e \u003cp\u003e7.2. Central Dogma as Communication System 180\u003c\/p\u003e \u003cp\u003e7.3. Reverse Engineering the Genetic Error Control System 184\u003c\/p\u003e \u003cp\u003e7.4. Applications of Biological Coding Theory 203\u003c\/p\u003e \u003cp\u003eReferences 205\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Complex Life Science Multidatabase Queries 209\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eZina Ben Miled, Nianhua Li, Yue He, Malika Mahoui, and Omran Bukhres\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1. Introduction 209\u003c\/p\u003e \u003cp\u003e8.2. Architecture 212\u003c\/p\u003e \u003cp\u003e8.3. Query Execution Plans 214\u003c\/p\u003e \u003cp\u003e8.4. Related Work 219\u003c\/p\u003e \u003cp\u003e8.5. Future Trends 222\u003c\/p\u003e \u003cp\u003eReferences 223\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Computational Analysis of Proteins 227\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eDimitrios I. Fotiadis, Yorgos Goletsis, Christos Lampros, and Costas Papaloukas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1. Introduction: Definitions 227\u003c\/p\u003e \u003cp\u003e9.2. Databases 229\u003c\/p\u003e \u003cp\u003e9.3. Sequence Motifs and Domains 232\u003c\/p\u003e \u003cp\u003e9.4. Sequence Alignment 235\u003c\/p\u003e \u003cp\u003e9.5. Modeling 241\u003c\/p\u003e \u003cp\u003e9.6. Classification and Prediction 242\u003c\/p\u003e \u003cp\u003e9.7. Natural Language Processing 248\u003c\/p\u003e \u003cp\u003e9.8. Future Trends 252\u003c\/p\u003e \u003cp\u003eReferences 252\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Computational Analysis of Interactions Between Tumor and Tumor Suppressor Proteins 257\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eE. Pirogova, M. Akay, and I. Cosic\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1. Introduction 257\u003c\/p\u003e \u003cp\u003e10.2. Methodology: Resonant Recognition Model 261\u003c\/p\u003e \u003cp\u003e10.3. Results and Discussions 265\u003c\/p\u003e \u003cp\u003e10.4. Conclusion 284\u003c\/p\u003e \u003cp\u003eReferences 285\u003c\/p\u003e \u003cp\u003eIndex 289\u003c\/p\u003e \u003cp\u003eAbout the Editor 299\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Other branches of medicine [\u003ca title=\"See our other books on Other branches of medicine\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Other%20branches%20of%20medicine%20%5BMM%5D%22\"\u003eMM\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":52298017702168,"sku":"9780471631811","price":96.79,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780471631811.jpg?v=1781730988","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/genomics-and-proteomics-engineering-in-medicine-and-biology-hardback-9780471631811","provider":"Freshly Printed Books","version":"1.0","type":"link"}