Life Science Data Mining

By: Chung-sheng Li, Stephen Tin Chi Wong

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Paperback | 4 January 2007

At a Glance

Paperback
388 Pages

Dimensions(cm)
22.86 x 15.24 x 2.54

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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 field offers readers an exceptional start in these areas.

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