| 書目名稱 | Correlation-based network analysis of cancer metabolism |
| 副標題 | A new systems biolog |
| 編輯 | Emily G. Armitage,Helen L. Kotze,Kaye J. Williams |
| 視頻video | http://file.papertrans.cn/239/238773/238773.mp4 |
| 概述 | This book presents a pioneering technique for analyzing metabolites.Explores the metabolome as the closest entity to the phenotype of a biological system.A useful tool for introducing metabolomics to |
| 叢書名稱 | SpringerBriefs in Systems Biology |
| 圖書封面 |  |
| 描述 | With the rise of systems biology as an approach in biochemistry research, using high throughput techniques such as mass spectrometry to generate metabolic profiles of cancer metabolism is becoming increasingly popular. There are examples of cancer metabolic profiling studies in the academic literature; however they are often only in journals specific to the metabolomics community. This book will be particularly useful for post-graduate students and post-doctoral researchers using this pioneering technique of network-based correlation analysis. The approach can be adapted to the analysis of any large scale metabolic profiling experiment to answer a range of biological questions in a range of species or for a range of diseases. |
| 出版日期 | Book 2014 |
| 關鍵詞 | analysis; correlation; metabolomics; network; Systems Biology |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4939-0615-4 |
| isbn_softcover | 978-1-4939-0614-7 |
| isbn_ebook | 978-1-4939-0615-4Series ISSN 2193-4746 Series E-ISSN 2193-4754 |
| issn_series | 2193-4746 |
| copyright | The Authors 2014 |
|Archiver|手機版|小黑屋|
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