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Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine. Through the description of important cutting-edge technologies in bioinformatics and systems biology, readers may gain an essential understanding of state-of-the-art methodologies.
The book discusses topics such as the challenges and tasks in translational bioinformatics; pharmacogenomics, systems biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and clinical applications, this book is suitable for a wide range of readers who may not be scientists but who are also interested in the practice of personalized medicine.
Sommario
Part I. Concepts and Basic Tools1. Introduction: Translational Bioinformatics and Personalized Medicine2. Systems and Dynamical Medicine: The Roles of Translational Bioinformatics3. Translational Bioinformatics Support for "Omics” Studies: Methods and Resources4. Data Integration, Data Mining, and Decision Support in Biomedical Informatics
Part II. Applications in Basic Sciences5. Applying Translational Bioinformatics for Biomarker Discovery6. Biomarkers From Systems Biology and "Omics” Studies: Applications and Examples7. Understanding Dynamical Diseases: Translational Bioinformatics Approaches
Part III. Applications in Clinical and Translational Sciences8. Translational Bioinformatics Methods for Drug Discovery and Development9. Translational Bioinformatics and Systems Biology for Understanding Inflammation10. Cardiovascular Diseases and Diabetes: Translational Bioinformatics and Systems Biology Methods11. Translational Bioinformatics and Systems Biology for Cancer Precision Medicine12. Aging and Age-Associated Diseases: Translational Bioinformatics and Systems Biology Methods
Info autore
Dr. Qing Yan has extensive research experience in translational bioinformatics and systems biology, including more than 14 years as a group leader in the biopharmaceutical industry. He has published numerous research papers and book chapters, and edited six biomedical books including Systems Biology in Drug Discovery and Development: Methods and Protocols and Pharmacogenomics in Drug Discovery and Development. Dr. Yan received a Ph.D. degree in Biological and Medical Informatics from the University of California San Francisco (UCSF).
