Shulph Ink
Traditional Chinese Medicine and Diseases: An Omics Big-data Mining Perspective
Traditional Chinese Medicine and Diseases: An Omics Big-data Mining Perspective
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- More about Traditional Chinese Medicine and Diseases: An Omics Big-data Mining Perspective
This book focuses on the integration of multi-omics big-data and cutting-edge omics research in understanding Traditional Chinese Medicine (TCM) and diseases. It covers topics such as data analysis methods,the need for omics studies in TCM,big-data integration techniques,big-data mining techniques,TCM preparation quality control,source tracking,network pharmacology analysis,TCM analysis data resources,web services,and visualizations. The goal is to bridge the gap between TCM-related multi-omics big data and data-mining techniques to provide insights into TCM and disease research.
Format: Hardback
Length: 139 pages
Publication date: 04 October 2022
Publisher: Springer Verlag, Singapore
This book delves into the realm of multi-omics big-data integration, exploring data-mining techniques and cutting-edge omics research in principles and applications to gain a profound understanding of Traditional Chinese Medicine (TCM) and diseases. It addresses various aspects, including:
Basics about multi-omics data and analytical methods for TCM and diseases.
The need for omics studies in TCM research, along with a foundational background in omics research in TCM and disease.
Enhanced comprehension of multi-omics big-data integration techniques.
Deep exploration of multi-omics big-data mining techniques, their applications, and the extraction of valuable insights from omics data for TCM and disease research.
Quality control in TCM preparation, encompassing the verification of prescribed and unexpected ingredients, including biological and chemical components.
Tracking of TCM preparation sources.
Network pharmacology analysis of TCM preparations.
Analysis of data resources, web services, and visualizations related to TCM analysis.
Examination of TCM geoherbalism and authentic TCM identification.
Traditional Chinese Medicine has a rich history spanning thousands of years, and only in recent decades have we recognized the immense potential of omics technologies to enhance our understanding of TCM. This book serves as a comprehensive resource for TCM and disease research in the era of omics. It aims to bridge the gap between multi-omics big data and data-mining techniques, providing practical guidance for contemporary bioinformatics and in-depth insights into TCM-related inquiries.
By delving into these topics, the book empowers researchers, practitioners, and healthcare professionals to leverage the power of omics in their pursuit of better health and well-being.
Weight: 401g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811947704
Edition number: 1st ed. 2022
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