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Life science data mining /

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,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: World Scientific (Firm)
Otros Autores: Wong, Stephen T. C., Li, Chung-Sheng, 1962-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, N.J. : World Scientific, Ã2006.
Colección:Science, engineering, and biology informatics ; v. 2.
Temas:
Acceso en línea:Texto completo

MARC

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260 |a Singapore ;  |a Hackensack, N.J. :  |b World Scientific,  |c Ã2006. 
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490 1 |a Science, engineering, and biology informatics ;  |v v. 2 
504 |a Includes bibliographical references and index. 
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505 0 |a 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. 
520 |a 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. 
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