| 書(shū)目名稱 | Data Mining for Systems Biology | | 副標(biāo)題 | Methods and Protocol | | 編輯 | Hiroshi Mamitsuka | | 視頻video | http://file.papertrans.cn/263/262955/262955.mp4 | | 概述 | Includes cutting-edge techniques for data mining in systems biology.Provides step-by-step guidance essential for reproducible results.Contains expert tips and implementation advice from practitioners | | 叢書(shū)名稱 | Methods in Molecular Biology | | 圖書(shū)封面 |  | | 描述 | This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the life sciences. The first half of the volume examines genomics, particularly metagenomics and epigenomics, which promise to deepen our knowledge of genes and genomes, while the second half of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented subjects. Written for the highly successful .Methods in Molecular Biology. series, chapters include the kind of detail and expert implementation advice that is useful for getting optimal results.?.Authoritative and practical, .Data Mining for Systems Biology: Methods and Protocols, Second Edition. serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency.. | | 出版日期 | Book 2018Latest edition | | 關(guān)鍵詞 | Metagenomics; Epigenomics; Metabolomics; Data sciences; Machine learning; Pharmaceutical science; Artifici | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4939-8561-6 | | isbn_softcover | 978-1-4939-9326-0 | | isbn_ebook | 978-1-4939-8561-6Series ISSN 1064-3745 Series E-ISSN 1940-6029 | | issn_series | 1064-3745 | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2018 |
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