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

This book focuses on the multi-omics big-data integration, the data-mining techniques and the cutting-edge omics researches in principles and applications for a deep understanding of Traditional Chinese Medicine (TCM) and diseases from the following aspects: (1) Basics about multi-omics data and ana...

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Bibliographic Details
Other Authors: Ning, Kang (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2022, 2022
Edition:1st ed. 2022
Series:Translational Bioinformatics
Subjects:
Data Analysis And Big Data
Bioinformatics
Quantitative Research
Pharmacy
Complementary And Alternative Medicine
Alternative Medicine
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1. Introduction to multi-omics data and analytical methods for TCM and diseases
  • Chapter 2. TCM and diseases: the needs for multi-omics
  • Chapter 3. TCM related multi-omics data integration techniques
  • Chapter 4. TCM related multi-omics data mining techniques
  • Chapter 5. TCM preparation quality control: biological and chemical ingredient analysis
  • Chapter 6. TCM preparation source tracking
  • Chapter 7. TCM preparation network pharmacology analysis
  • Chapter 8. TCM analysis data resources, web services and visualizations
  • Chapter 9. TCM geoherbalism examination and authentic TCM identification

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