Life science data mining [[electronic resource] /] / editors, Stephen Wong, Chung-Sheng Li

• Pubblicazione: Singapore ; ; Hackensack, NJ, : World Scientific, c2006
• Descrizione fisica: 1 online resource (388 p.)
• Disciplina: 570.2856312
• Soggetto topico: Computational biology - Methodology; Bioinformatics
• Soggetto genere / forma: Electronic books.
• Altri autori: WongStephen T. C LiChung-Sheng <1962->
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: CONTENTS ; Preface ; Chapter 1 Survey of Early Warning Systems for Environmental and Public Health Applications ; 1. Introduction ; 2. Disease Surveillance ; 3. Reference Architecture for Model Extraction ; 4. Problem Domain ; 5. Data Sources ; 6. Detection Methods ; 7. Summary and Conclusion References ; Chapter 2 Time-Lapse Cell Cycle Quantitative Data Analysis Using Gaussian Mixture Models ; 1. Introduction ; 2. Material and Feature Extraction ; 3. Problem Statement and Formulation ; 4. Classification Methods ; 5. Experimental Results ; 6. Conclusion Appendix A ; Appendix B ; References ; Chapter 3 Diversity and Accuracy of Data Mining Ensemble ; 1. Introduction ; 2. Ensemble and Diversity ; 3. Probability Analysis ; 4. Coincident Failure Diversity ; 5. Ensemble Accuracy ; 6. Construction of Effective Ensembles ; 7. An Application: Osteoporosis Classification Problem 8. Discussion and Conclusions ; References ; Chapter 4 Integrated Clustering for Microarray Data ; 1. Introduction ; 2. Related Work ; 3. Data Preprocessing ; 4. Integrated Clustering ; 5. Experimental Evaluation ; 6. Conclusions References ; Chapter 5 Complexity and Synchronization of EEG with Parametric Modeling ; 1. Introduction ; 2. TVAR Modeling ; 3. Complexity Measure ; 4. Synchronization Measure ; 5. Conclusions ; References ; Chapter 6 Bayesian Fusion of Syndromic Surveillance with Sensor Data for Disease Outbreak Classification
• Sommario/riassunto: This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science. The cutting-edge topics presented include bio-surveillance, disease outbreak detection, high throughput bioimaging, drug screening, predictive toxicology, biosensors, and the integration of macro-scale bio-surveillance and environmental data with micro-scale biological data for personalized medicine. This collection of works from leading researchers in th
• Titolo autorizzato: Life science data mining
• ISBN: 1-281-92440-7; 9786611924409; 981-277-266-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910453805503321
• Lo trovi qui: Univ. Federico II
• Serie: Science, engineering, and biology informatics ; ; v. 2.