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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,...

Descripción completa

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
Descripción
Sumario: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.
Descripción Física:1 online resource (xviii, 370 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9812772669
9789812772664