Life science data mining / editors, Stephen Wong, Chung-Sheng Li.

Format:

Book

Contributor:

Wong, Stephen T. C.

Li, Chung-Sheng, 1962-

Series:

Science, engineering, and biology informatics ; v. 2.

Language:

English

Subjects (All):

Computational biology--Methodology.

Computational biology.

Bioinformatics.

Physical Description:

1 online resource (388 p.)

Edition:

1st ed.

Place of Publication:

Singapore ; Hackensack, NJ : World Scientific, c2006.

Language Note:

English

Summary:

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

Contents:

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

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786611924409

9781281924407

1281924407

9789812772664

9812772669

OCLC:

879023420