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.
Contents:
* Survey of Early Warning Systems for Environmental and Public Health Applications
* Time-Lapse Cell Cycle Quantitative Data Analysis Using Gaussian Mixture Models
* Diversity and Accuracy of Data Mining Ensemble
* Integrated Clustering for Microarray Data
* Complexity and Synchronization of EEG with Parametric Modeling
* Bayesian Fusion of Syndromic Surveillance with Sensor Data for Disease Outbreak Classification
* An Evaluation of Over-the-Counter Medication Sales for Syndromic Surveillance
* Collaborative Health Sentinel
* A Multi-Modal System Approach for Drug Abuse Research and Treatment Evaluation: Information Systems Needs and Challenges
* Knowledge Representation for Versatile Hybrid Intelligent Processing Applied in Predictive Toxicology
* Ensemble Classification System Implementation for Biomedical Microarray Data
* An Automated Method for Cell Phase Identification in High Throughput Time-Lapse Screens
* Inference of Transcriptional Regulatory Networks Based on Cancer Microarray Data
* Data Mining in Biomedicine
* Mining Multilevel Association Rules from Gene Ontology and Microarray Data
* A Proposed Sensor-Configuration and Sensitivity Analysis of Parameters with Applications to Biosensors
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Verfasserangabe:
editors Stephen Wong ; Chung-Sheng Li
Jahr:
2006
Verlag:
Hackensack, NJ, World Scientific
Aufsätze:
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Systematik:
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BI-50, MA-20
Interessenkreis:
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Monographien
ISBN:
9789812700650
Beschreibung:
XVIII, 317 S. : Ill., graph. Darst.
Sprache:
englisch||
Fußnote:
Literaturangaben
Mediengruppe:
Ausleihbestand