Traditional Chinese Medicine and Diseases: An Omics Big-data Mining Perspective

This book focuses on the multi-omics big-data integration, data-mining techniques, and cutting-edge omics researches in principles and applications for a deep understanding of Traditional Chinese Medicine (TCM) and diseases. It covers basics about multi-omics data and analytical methods, the needs of omics studies in TCM researches, multi-omics big-data integration techniques, multi-omics big-data mining techniques, TCM preparation quality control, TCM preparation source tracking, TCM preparation network pharmacology analysis, TCM analysis data resources, web services, and visualizations, and TCM geoherbalism examination and authentic TCM identification. It aims to bridge the gap between TCM-related multi-omics big data and data-mining techniques for best practice of contemporary bioinformatics and in-depth insights on TCM-related questions.

Format: Paperback / softback
Length: 139 pages
Publication date: 05 October 2023
Publisher: Springer Verlag, Singapore

Traditional Chinese Medicine (TCM) has a rich history spanning thousands of years, and only in recent decades have we recognized the potential of omics technologies to revolutionize TCM research. This book aims to address this gap by focusing on data integration and data mining methods for multi-omics research in TCM. It provides a comprehensive overview of the "What", "Why", and "How" of omics in TCM-related research, with practical examples to illustrate its applications. By bridging the gap between TCM-related multi-omics big data and data-mining techniques, this book seeks to provide contemporary bioinformatics practitioners with the knowledge and skills necessary to make the most of these data for in-depth insights into TCM-related questions.

Dimension: 235 x 155 (mm)
ISBN-13: 9789811947735
Edition number: 1st ed. 2022