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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Lecture Notes in Computer Sciencetion, and processing. Bias can be introduced during animal treatment, tissue handling, and sample preparation. Metrics and controls used in assessing RNA integrity and the quality of microarray sample generation are reviewed in this chapter. Regulations and guidelines involved in the application of

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Stiff Systems and Multiple Scalesceutical industry..This chapter explores new predictive toxicogenomics approaches to better understand the hepatotoxic potential of human drug candidates and to assess their toxicity earlier in the drug development process. The underlying data consisted of two commercial knowledgebases that employed

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Computation and Big Data for Transportin animal model systems such as the rat. This large volume of data, accompanied by appropriate study designs, compound and dose selection procedure, and minimization of technical and biological confounding effects, can yield successful predictive models for a variety of hypotheses. The process of tr

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T. Chacón,D. Franco,F. Ortegón,I. Sánchezolomic, and proteomic experiments may at most yield a list of active genes, metabolites, or proteins, respectively. More generally, the experiments yield active features that represent subsequences of the gene, a chemical shift within a complex mixture, or peptides, respectively. Thus, in the best-c

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Computation in Neurons and Neural Systemsre useful in multiple species (i.e., translational or bridging biomarkers) so that it would be possible to directly link responses between species and follow such injury in both preclinical and clinical settings. This chapter will explore some of the issues surrounding the use of pharmacogenomics to