Actions for Life science data mining
Life science data mining / editors, Stephen Wong, Chung-Sheng Li.
- Published
- Singapore ; Hackensack, N.J. : World Scientific, [2006]
- Copyright Date
- ©2006
- Physical Description
- 1 online resource (xviii, 370 pages) : illustrations
- Additional Creators
- Wong, Stephen T. C., Li, Chung-Sheng, 1962-, and World Scientific (Firm)
Access Online
- Series
- Contents
- Ch. 1. Survey of early warning systems for environmental and public health applications -- ch. 2. Time-lapse cell cycle quantitative data analysis using gaussian mixture models -- ch. 3. Diversity and accuracy of data mining ensemble -- ch. 4. Integrated clustering for microarray data -- ch. 5. Complexity and synchronization of EEG with parametric modeling -- ch. 6. Bayesian fusion of syndromic surveillance with sensor data for disease outbreak classification -- ch. 7. An evaluation of over-the-counter medication sales for syndromic surveillance -- ch. 8. Collaborative health sentinel -- ch. 9. A multi-modal system approach for drug abuse research and treatment evaluation: information system needs and challenges -- ch. 10. Knowledge representation for versatile hybrid intelligent processing applied in predictive toxicology -- ch. 11. Ensemble classification system implementation for biomedical microarray data -- ch. 12. An automated method for cell phase identification in high throughput time-lapse screens -- ch. 13. Inference of transcriptional regulatory networks based on cancer microarray data -- ch. 14. Data mining in biomedicine -- ch. 15. Mining multilevel association rules from gene ontology and microarray data -- ch. 16. A proposed sensor-configuration and sensitivity analysis of parameters with applications to biosensors.
- 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 the.
- Subject(s)
- Genre(s)
- ISBN
- 9812772669 (electronic bk.)
9789812772664 (electronic bk.)
9789812700643
9812700641
9789812700650 (pbk.)
981270065X (pbk.) - Digital File Characteristics
- data file
- Form of work
- Bibliography
- Bibliography Note
- Includes bibliographical references and index.
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