Record:   Prev Next
Author Wong, Stephen Tin Chi
Title Life Science Data Mining
Imprint Singapore : World Scientific Publishing Co Pte Ltd, 2006
©2006
book jacket
Descript 1 online resource (388 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Science, Engineering, and Biology Informatics Ser. ; v.2
Science, Engineering, and Biology Informatics Ser
Note Intro -- 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 -- 1. Introduction -- 2. Approach -- 3. Results -- 4. Summary and Conclusions -- References -- Chapter 7 An Evaluation of Over-the-Counter Medication Sales for Syndromic Surveillance -- 1. Introduction -- 2. Background and Related Work -- 3. Data -- 4. Approaches -- 5. Experiments -- 6. Conclusions and Future Work -- References -- Chapter 8 Collaborative Health Sentinel
1. Introduction -- 2. Infectious Disease and Existing Health Surveillance Programs -- 3. Elements of the Collaborative Health Sentinel (CHS) System -- 4. Interaction with the Health Information Technology(HCIT) World -- 5. Conclusion -- References -- Appendix A - HL7 -- Chapter 9 A Multi-Modal System Approach for Drug Abuse Research and Treatment Evaluation: Information Systems Needs and Challenges -- 1. Introduction -- 2. Context -- 3. Possible System Structure -- 4. Challenges in System Development and Implementation -- 5. Summary -- References -- Chapter 10 Knowledge Representation for Versatile Hybrid Intelligent Processing Applied in Predictive Toxicology -- 1. Introduction -- 2. Hybrid Intelligent Techniques for Predictive Toxicology Knowledge Representation -- 3. XML Schemas for Knowledge Representation and Processing in AI and Predictive Toxicology -- 4. Towards a Standard for Chemical Data Representation in Predictive Toxicology -- 5. Hybrid Intelligent Systems for Knowledge Representation in Predictive Toxicology -- 6. A Case Study -- 7. Conclusions -- References -- Chapter 11 Ensemble Classification System Implementation for Biomedical Microarray Data -- 1. Introduction -- 2. Background -- 3. Ensemble Classification System (ECS) Design -- 4. Experiments -- 5. Conclusion and Further Work -- References -- Chapter 12 An Automated Method for Cell Phase Identification in High Throughput Time-Lapse Screens -- 1. Introduction -- 2. Nuclei Segmentation and Tracking -- 3. Cell Phase Identification -- 4. Experimental Results -- 5. Conclusion -- References -- Chapter 13 Inference of Transcriptional Regulatory Networks Based on Cancer Microarray Data -- 1. Introduction -- 2. Subnetworks and Transcriptional Regulatory Networks Inference -- 3. Multinomial Probit Regression with Baysian Gene Selection
4. Network Construction Based on Clustering and Predictor Design -- 5. Concluding Remarks -- References -- Chapter 14 Data Mining in Biomedicine -- 1. Introduction -- 2. Predictive Model Construction -- 3. Validation -- 4. Impact Analysis -- 5. Summary -- References -- Chapter 15 Mining Multilevel Association Rules from Gene Ontology and Microarray Data -- 1. Introduction -- 2. Proposed Methods -- 3. The MAGO Algorithm -- 4. Experimental Results -- 5. Concluding Remarks -- References -- Chapter 16 A Proposed Sensor-Configuration and Sensitivity Analysis of Parameters with Applications to Biosensors -- 1. Introduction -- 2. Sensor-System Configuration -- 3. Optical Biosensors -- 4. Discussion -- 5. Conclusion -- References -- Epilogue -- References -- Index
Key Features:The first book dedicated to data mining algorithms and techniques for a broad range of life science applications and problems, including public health, drug discovery, biomarker development, systems biology, genetic analysis, biosurveillance and environmental monitoring
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Wong, Stephen Tin Chi Life Science Data Mining Singapore : World Scientific Publishing Co Pte Ltd,c2006 9789812700643
Subject Computational biology -- Methodology.;Bioinformatics
Electronic books
Alt Author Li, Chung-Sheng
Record:   Prev Next