| 書目名稱 | Computational Toxicology | | 副標題 | Volume II | | 編輯 | Brad Reisfeld,Arthur N. Mayeno | | 視頻video | http://file.papertrans.cn/234/233201/233201.mp4 | | 概述 | Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts | | 叢書名稱 | Methods in Molecular Biology | | 圖書封面 |  | | 描述 | .Rapid advances in computer science, biology, chemistry, and other disciplines are enabling powerful new computational tools and models for toxicology and pharmacology. These computational tools hold tremendous promise for advancing applied and basic science, from streamlining drug efficacy and safety testing, to increasing the efficiency and effectiveness of risk assessment for environmental chemicals. .Computational Toxicology. was conceived to provide both experienced and new biomedical and quantitative scientists with essential background, context, examples, useful tips, and an overview of current developments in the field. This two-volume set serves as a resource to help introduce and guide readers in the development and practice of these tools to solve problems and perform analyses in this area..Divided into six sections, .Volume II. covers a wide array of methodologies and topics. The volume begins by exploring the critical area of predicting toxicological and pharmacological endpoints, as well as approaches used in the analysis of gene, signaling, regulatory, and metabolic networks. The next section focuses on diagnostic and prognostic molecular indicators (biomarkers), fol | | 出版日期 | Book 2013 | | 關(guān)鍵詞 | QSAR; biological network modeling; biomarkers; gene expression networks; regulatory networks | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-62703-059-5 | | isbn_softcover | 978-1-4939-6326-3 | | isbn_ebook | 978-1-62703-059-5Series ISSN 1064-3745 Series E-ISSN 1940-6029 | | issn_series | 1064-3745 | | copyright | Springer Science+Business Media, LLC 2013 |
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