{
"item_title" : "Life Science Data Mining",
"item_author" : [" Chung-Sheng Li", "Stephen Tin Chi Wong "],
"item_description" : "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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Life Science Data Mining
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Overview
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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Details
- ISBN-13: 9789812700643
- ISBN-10: 9812700641
- Publisher: World Scientific Publishing Company
- Publish Date: December 2006
- Dimensions: 9.22 x 6.26 x 1.04 inches
- Shipping Weight: 1.5 pounds
- Page Count: 388
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