No one is happy that it takes 10 years for a drug to reach the market, but now at last there is a new generation of research tools that can help cut time-consuming obstacles down to size. This trail-blazing resource on biomedical informatics provides researchers with innovative techniques for integrating and federating data from clinical and molecular studies. These methods enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and enable researchers to translate knowledge from "bench to bedside" and "bedside to bench" with never-before speed and efficiency. Complete with examples demonstrating how to develop tools for specific biomedical informatics tasks, this volume will help all medical researchers manage data, expedite their efforts, and make the most of targeted basic research.

lgli/_391285.17fec0cfb8f5cbfc68a1c0c5587a226a.pdf

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zlib/Medicine/Hai Hu, Richard J. Mural, Michael N. Liebman/Biomedical Informatics in Translational Research_1100383.pdf

Hu, Hai, Mural, Richard J., Liebman, Michael N.

Hai Hu; Michael Liebman; Richard J Mural

Hai Hu and Michael Liebman, Editors

Artech House, Inc

Artech House series bioinformatics & biomedical imaging, Artech House bioinformatics & biomedical imaging series, Boston, Massachusetts, 2008

United States, United States of America

Artech House Publishers, Boston, 2008

Bioinformatics, Boston, cop. 2008

до 2011-08

lg661429

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Includes bibliographical references and index.

<p>This groundbreaking resource on biomedical informatics gives you step-by-step insight into innovative techniques for integrating and federating data from clinical and high-throughput molecular study platforms as well as from the public domain. It details how to apply computational and statistical technologies to clinical, genomic, and proteomic studies to enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and to translate knowledge from "bench to bedside" and "bedside to bench" with never-before efficiency.<br>
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Filling the need for informatics applications that bridge the clinical-basic domains and facilitate the bi-directional flow of research, this definitive volume offers a systems-oriented approach to the subject that complements the traditional bottom-up approach of systems biology. You get clear insight into how to conduct biomedical informatics research at both the clinical and molecular levels, with detailed guidelines on study design, IRB protocol development, questionnaire design, specimen collection, and other procedures and applications. The book explains the latest data integration and federation approaches, and points the way to potential new data analysis and mining methodologies for tackling problems that cannot be readily resolved using current technologies. Complete with in-depth case examples demonstrating how to develop tools for specific biomedical informatics tasks, this pioneering work will prove invaluable to your efforts in managing clinical and high-throughput data and making the most of targeted basic research.<br>
</p>

"This biomedical informatics resource offers step-by-step guidance on innovative techniques for integrating and federating data from clinical and high-throughput molecular study platforms, as well as from the public domain. This book details how to apply computational and statistical technologies to clinical, genomic, and proteomic studies to enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and to translate knowledge from "bench to bedside" and "bedside to bench" with never-before efficiency."--Jacket

2011-08-31