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001			394113
003			ES-MaUEC
005			20230102123053.0
007			cr nn 008mamaa
008			221003s2022 si | s |||| 0|eng d
020			_a9789811947711
024	7		_a10.1007/978-981-19-4771-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aTraditional Chinese Medicine and Diseases _bAn Omics Big-data Mining Perspective _cedited by Kang Ning
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (IX, 139 páginas) _b35 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aTranslational Bioinformatics _x2213-2783 _v18
505	0		_aChapter 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.
520			_aThis 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, and visualizations. (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 realized that the researches on TCM could be profoundly boosted by the omics technologies. Devised as a book on TCM and disease researches in the omics age, this book has put the focus on data integration and data mining methods for multi-omics researches, which will be explained in detail and with supportive examples the "What", "Why" and "How" of omics on TCM related researches. It is an attempt to bridge the gap between TCM related multi-omics big data, and the data-mining techniques, for best practice of contemporary bioinformatics and in-depth insights on the TCM related questions.
700	1		_aNing, Kang _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811947704
776	0	8	_iPrinted edition: _z9789811947728
776	0	8	_iPrinted edition: _z9789811947735
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-4771-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_BiomedLife_2022
999			_c394113 _d394113