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portada Translational Bioinformatics and Systems Biology Methods for Personalized Medicine
Type
Physical Book
Publisher
Author
Year
2017
Language
English
Pages
182
Format
Paperback
ISBN13
9780128043288
Edition No.
1

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

Qing Yan (Author) · Academic Press · Paperback

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine - Qing Yan

Physical Book

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Synopsis "Translational Bioinformatics and Systems Biology Methods for Personalized Medicine"

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.Introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicinePresents a problem-solving oriented methodology to deal with practical problems in various applicationsCovers both basic scientific and clinical applications in order to enhance the collaboration between researchers and cliniciansBrings integrative and multidisciplinary approaches to bridge the gaps among various knowledge domains in the field

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