| 书目名称 | Traditional Chinese Medicine and Diseases | | 副标题 | An Omics Big-data Mi | | 编辑 | Kang Ning | | 视频video | | | 概述 | Features multi-omics big-data integration and data-mining techniques in Traditional Chinese Medicine.Provides in detail and with supportive examples the “What”, “Why” and “How” of the topic.Shed light | | 丛书名称 | Translational Bioinformatics | | 图书封面 |  | | 描述 | 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 analytical methods for TCM and diseases. (2) The needs of omics studies in TCM researches, and the basic background of omics research in TCM and disease. (3) Better understanding of the multi-omics big-data integration techniques. (4) Better understanding of the multi-omics big-data mining techniques, as well as with different applications, for most insights from these omics data for TCM and disease researches. (5) TCM preparation quality control for checking both prescribed and unexpected ingredients including biological and chemical ingredients. (6) TCM preparation source tracking. (7) TCM preparation network pharmacology analysis. (8) TCM analysis data resources, web services, andvisualizations. (9) TCM geoherbalism examination and authentic TCM identification. .Traditional Chinese Medicine has been in existence for several thousands of years, and only in recent tens of years have we re | | 出版日期 | Book 2022 | | 关键词 | Traditional Chinese Medicine; Big-data; Multiple omics; Data mining; Artificial intelligence; Microbiome | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-4771-1 | | isbn_softcover | 978-981-19-4773-5 | | isbn_ebook | 978-981-19-4771-1Series ISSN 2213-2775 Series E-ISSN 2213-2783 | | issn_series | 2213-2775 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 17:55:36
