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Applying Big Data Analytics in Bioinformatics and Medicine

Applying Big Data Analytics in Bioinformatics and Medicine

Miltiadis D. Lytras, Paraskevi Papadopoulou
Copyright: © 2018 |Pages: 465
ISBN13: 9781522526070|ISBN10: 1522526072|EISBN13: 9781522526087
DOI: 10.4018/978-1-5225-2607-0
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MLA

Lytras, Miltiadis D., and Paraskevi Papadopoulou, editors. Applying Big Data Analytics in Bioinformatics and Medicine. IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2607-0

APA

Lytras, M. D. & Papadopoulou, P. (Eds.). (2018). Applying Big Data Analytics in Bioinformatics and Medicine. IGI Global. https://doi.org/10.4018/978-1-5225-2607-0

Chicago

Lytras, Miltiadis D., and Paraskevi Papadopoulou, eds. Applying Big Data Analytics in Bioinformatics and Medicine. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2607-0

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Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens.

Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Bioinformatics and Biomedical Engineering (ABBE) Book Series
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Preface
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Acknowledgment
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Chapters
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Chapter 1
This section covers topics related to inferring gene function from expression data, genome sequence data, integrating expression data with other genome-wide data for functional annotation, functional study of specific molecular and...
Introduction to Bioinformatics in Medicine and Medical Systems
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Chapter 2
This section covers topics related to computational systems biology, machine learning in protein fold recognition, integrative data analysis, structural class prediction of protein, functional study of specific molecular and pathway...
Bioinformatics in the Fields of Genomics and Proteomics as Applied to Medicine, Health Issues, and Medical Systems
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Chapter 3
This section covers topics related to health analytics and informatics, medical and health informatics by using “-omics” data, system biology, disease control, predictive model of disease state, translational medicine, drug design...
Big Data Analytics for Medical and Health informatics
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Back Materials
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Compilation of References
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About the Contributors
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Index
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