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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,...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| 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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| 245 | 0 | 0 | |a Life science data mining / |c editors, Stephen Wong, Chung-Sheng Li. |
| 260 | |a Singapore ; |a Hackensack, N.J. : |b World Scientific, |c Ã2006. | ||
| 300 | |a 1 online resource (xviii, 370 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 380 | |a Bibliography | ||
| 490 | 1 | |a Science, engineering, and biology informatics ; |v v. 2 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 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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| 650 | 0 | |a Computational biology |x Methods. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Information organization. | |
| 650 | 0 | |a Electronic data processing. | |
| 650 | 2 | |a Computational Biology | |
| 650 | 2 | |a Information Storage and Retrieval | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 6 | |a Organisation de l'information. | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Biochemistry. |2 bisacsh | |
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| 650 | 7 | |a Computational biology |2 fast | |
| 650 | 7 | |a Electronic data processing |2 fast | |
| 650 | 7 | |a Information organization |2 fast | |
| 655 | 7 | |a Methods (Music) |2 fast | |
| 700 | 1 | |a Wong, Stephen T. C. | |
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| 830 | 0 | |a Science, engineering, and biology informatics ; |v v. 2. | |
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