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Titlebook: Essential Concepts in Toxicogenomics; Donna L. Mendrick,William B. Mattes Book 2008 Humana Press 2008 Annotation.Biomarkers.Genomic data.M

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發(fā)表于 2025-3-21 19:20:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Essential Concepts in Toxicogenomics
編輯Donna L. Mendrick,William B. Mattes
視頻videohttp://file.papertrans.cn/316/315423/315423.mp4
概述Includes contributions from experts in fields as diverse as the pharmaceutical industry, biotechnology companies, regulatory agencies, non-profit organizations and academia.Covers the many uses of tox
叢書(shū)名稱(chēng)Methods in Molecular Biology
圖書(shū)封面Titlebook: Essential Concepts in Toxicogenomics; Donna L. Mendrick,William B. Mattes Book 2008 Humana Press 2008 Annotation.Biomarkers.Genomic data.M
描述.The field of toxicogenomics has been growing quickly,?yet with rapid growth comes the need to periodically reflect on the nature of the field.? .Essential Concepts?in Toxicogenomics. collects reviews, opinion pieces and case studies from the leading experts in this dynamic field with a focus on its application to pharmaceuticals.? Topics covered include issues that affect the quality of toxicogenomics experiments, statistical approaches to their data analysis, the use of?such data to build toxicogenomic models, and the utilization of genomics to identify biomarkers within the preclinical and clinical arenas. Although not in the standard .Methods in Molecular Biology?. series format, this volume?retains the practicality and usefulness of the highly successful series...?..Informative and cutting-edge, .Essential Concepts in Toxicogenomics. is an ideal resource for pharmaceutical companies, chemical manufacturers, toxicologists, and all who must?keep up-to-date on?progress in?this vital and important?field..
出版日期Book 2008
關(guān)鍵詞Annotation; Biomarkers; Genomic data; Microarray; Regulatory implications; Toxicity; Toxicogenomic models;
版次1
doihttps://doi.org/10.1007/978-1-60327-048-9
isbn_softcover978-1-61737-688-7
isbn_ebook978-1-60327-048-9Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightHumana Press 2008
The information of publication is updating

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Book 2008e highly successful series...?..Informative and cutting-edge, .Essential Concepts in Toxicogenomics. is an ideal resource for pharmaceutical companies, chemical manufacturers, toxicologists, and all who must?keep up-to-date on?progress in?this vital and important?field..
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Stiff Systems and Multiple Scaleslied, based on sets of compounds and genes. Robust classification rules were constructed for both . (hepatocytes) and . (liver) data, based on a high-dose, 24-h design. There appeared to be little overlap between the two classifiers, at least in terms of their gene lists. Robust classifiers could no
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T. Chacón,D. Franco,F. Ortegón,I. Sánchezicroarrays or experiments, biological data repositories may be consulted, in the case of microarrays, to complement results. Many of the data sources and databases available for gene function characterization, including tools from the National Center for Biotechnology Information, Gene Ontology, and
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Miron Ya. Amusia,Larissa V. Chernyshevaoducibility of microarray results, standard practice for assays and analysis, relevance of microarray results to conventional end points, and robustness of statistical models on diverse data sets. Their results demonstrate the impact that the pooling of resources, experience, expertise, and insight
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Computation of Curves and Surfacess: (.) constraints arising from continual literature surveillance and data reanalysis burdens, under the shadow of looming subsequent reporting requirements to regulatory authorities as gene expression end points loosely linked to safety gain attention in the published literature, and (.) ambiguitie
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Predictive Toxicogenomics in Preclinical Discovery,lied, based on sets of compounds and genes. Robust classification rules were constructed for both . (hepatocytes) and . (liver) data, based on a high-dose, 24-h design. There appeared to be little overlap between the two classifiers, at least in terms of their gene lists. Robust classifiers could no
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