標(biāo)題: Titlebook: Essential Concepts in Toxicogenomics; Donna L. Mendrick,William B. Mattes Book 2008 Humana Press 2008 Annotation.Biomarkers.Genomic data.M [打印本頁(yè)] 作者: firearm 時(shí)間: 2025-3-21 19:20
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書目名稱Essential Concepts in Toxicogenomics讀者反饋
書目名稱Essential Concepts in Toxicogenomics讀者反饋學(xué)科排名
作者: 香料 時(shí)間: 2025-3-21 21:09
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..作者: 刺耳的聲音 時(shí)間: 2025-3-22 03:39
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作者: OTTER 時(shí)間: 2025-3-22 06:23
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作者: 行業(yè) 時(shí)間: 2025-3-22 10:32 作者: GREEN 時(shí)間: 2025-3-22 16:48 作者: GREEN 時(shí)間: 2025-3-22 18:30
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 作者: Keratectomy 時(shí)間: 2025-3-22 21:51
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作者: Prosaic 時(shí)間: 2025-3-23 01:27
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作者: agenda 時(shí)間: 2025-3-23 05:41 作者: macabre 時(shí)間: 2025-3-23 11:30
Microarray Probe Mapping and Annotation in Cross-Species Comparative Toxicogenomics,g transcript from any organism, which then are mapped into the appropriate native locus and finally into the second species via an orthology resource. The results of this method are given for an experiment comparing the transcriptional response of canine liver to phenobarbital with that of rat liver作者: Frequency-Range 時(shí)間: 2025-3-23 17:52
Toxicogenomics in Biomarker Discovery, expression data from preclinical studies to find differentially expressed genes that correlate with pathology (coincident biomarker) or precede pathology (leading biomarker) within a lead series; or gene expression profiling can be performed directly on the blood from preclinical studies or clinica作者: orient 時(shí)間: 2025-3-23 18:17
Public Consortium Efforts in Toxicogenomics,oducibility 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 作者: miniature 時(shí)間: 2025-3-24 00:57
Applications of Toxicogenomics to Nonclinical Drug Development: Regulatory Science Considerations,s: (.) 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作者: 有節(jié)制 時(shí)間: 2025-3-24 03:08 作者: 運(yùn)氣 時(shí)間: 2025-3-24 08:22
Use of Traditional End Points and Gene Dysregulation to Understand Mechanisms of Toxicity: Toxicoge of toxicologic changes. Identifying genes whose expression is associated with specific toxic end points is an initial step in predicting, characterizing, and understanding toxicity. Analysis of gene function and the chronology of gene expression changes represent additional methods to generate hypo作者: Longitude 時(shí)間: 2025-3-24 12:06
Quality Control of Microarray Assays for Toxicogenomic and , Diagnostic Applications,tion, 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 作者: 禁止 時(shí)間: 2025-3-24 16:30
Role of Statistics in Toxicogenomics,ration, gene and pathway level analysis, and finally predictive model building. This type of analysis approach can yield toxicogenomic models that provide validated and reliable information about the toxicity of compounds. In addition, we provide study design recommendations for genomic studies in t作者: 抱怨 時(shí)間: 2025-3-24 22:56 作者: 斑駁 時(shí)間: 2025-3-25 01:54
, Predictive Toxicogenomics,in 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作者: GLARE 時(shí)間: 2025-3-25 03:24 作者: nominal 時(shí)間: 2025-3-25 08:41 作者: 急性 時(shí)間: 2025-3-25 14:33
Toxicogenomics in Biomarker Discovery,onses to adverse xenobiotic exposure. Toxicogenomics is being investigated for use in the triage of compounds through predicting potential toxicity, defining mechanisms of toxicity, and identifying potential biomarkers of toxicity. Whereas various approaches have been reported for the development of作者: 大方一點(diǎn) 時(shí)間: 2025-3-25 16:18 作者: 等級(jí)的上升 時(shí)間: 2025-3-25 20:31
Public Consortium Efforts in Toxicogenomics,ectors of the scientific community. They are particular well suited for tackling some of the questions encountered in the field of toxicogenomics, where the number of studies and microarray analyses would be prohibitively expensive for a single organization to carry out. Five consortia that stand ou作者: Vasodilation 時(shí)間: 2025-3-26 04:06 作者: Thyroiditis 時(shí)間: 2025-3-26 04:22 作者: WAX 時(shí)間: 2025-3-26 08:40
Methods in Molecular Biologyhttp://image.papertrans.cn/e/image/315423.jpg作者: Ophthalmoscope 時(shí)間: 2025-3-26 15:26 作者: Chromatic 時(shí)間: 2025-3-26 16:48
Essential Concepts in Toxicogenomics978-1-60327-048-9Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: Promotion 時(shí)間: 2025-3-26 22:26 作者: ATOPY 時(shí)間: 2025-3-27 03:59 作者: 愚蠢人 時(shí)間: 2025-3-27 08:13
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 作者: 不成比例 時(shí)間: 2025-3-27 09:43 作者: 種屬關(guān)系 時(shí)間: 2025-3-27 14:31
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作者: lymphedema 時(shí)間: 2025-3-27 21:50
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作者: Commission 時(shí)間: 2025-3-27 22:57
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作者: BIDE 時(shí)間: 2025-3-28 05:21 作者: Lacunar-Stroke 時(shí)間: 2025-3-28 07:53 作者: ADORE 時(shí)間: 2025-3-28 12:14
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作者: 轉(zhuǎn)折點(diǎn) 時(shí)間: 2025-3-28 18:32
Miron Ya. Amusia,Larissa V. Chernyshevaectors of the scientific community. They are particular well suited for tackling some of the questions encountered in the field of toxicogenomics, where the number of studies and microarray analyses would be prohibitively expensive for a single organization to carry out. Five consortia that stand ou作者: –DOX 時(shí)間: 2025-3-28 21:40
Computation of Curves and Surfacesstics of a steady pipeline of agents advancing toward clinical testing. Applications of toxicogenomics to the evaluation of compounds could best be realized if this promising technology could be implemented in these studies fully anchored in the traditional study end points currently used to charact作者: gerontocracy 時(shí)間: 2025-3-29 01:39 作者: Anthropoid 時(shí)間: 2025-3-29 06:23
Toxicogenomics and Classic Toxicology: How to Improve Prediction and Mechanistic Understanding of He ways to improve their productivity and supplement their classic toxicology studies. Acceptance of toxicogenomics will continue to grow as regulatory concerns are addressed, proof of concept studies are disseminated more fully, and internal case studies show value for the use of this new technology in concert with classic testing.作者: Ige326 時(shí)間: 2025-3-29 10:52
1064-3745 rofit organizations and academia.Covers the many uses of tox.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 t作者: Abutment 時(shí)間: 2025-3-29 12:48 作者: 哄騙 時(shí)間: 2025-3-29 17:50
Vijay Gupta,Michael Th. Rassiasvide validated and reliable information about the toxicity of compounds. In addition, we provide study design recommendations for genomic studies in toxicology, covering areas of power, sample size, the need for replicates, and the issue of sample pooling.作者: sed-rate 時(shí)間: 2025-3-29 20:03
Computation in Neurons and Neural Systems follow such injury in both preclinical and clinical settings. This chapter will explore some of the issues surrounding the use of pharmacogenomics to identify and qualify such biomarkers, and examples will be provided.作者: 休息 時(shí)間: 2025-3-30 02:13
https://doi.org/10.1007/978-3-540-68547-0derstanding the mechanism of toxicity for a compound is a critical step in forming a rational plan for developing counterscreens for toxicity and for increasing productivity of research and development while decreasing the risk of late-stage failure in pharmaceutical development.作者: Parabola 時(shí)間: 2025-3-30 05:41
Use of Traditional End Points and Gene Dysregulation to Understand Mechanisms of Toxicity: Toxicogederstanding the mechanism of toxicity for a compound is a critical step in forming a rational plan for developing counterscreens for toxicity and for increasing productivity of research and development while decreasing the risk of late-stage failure in pharmaceutical development.作者: apiary 時(shí)間: 2025-3-30 08:45
, Predictive Toxicogenomics,aining, validating, and implementing predictive models is cyclical and complex. This chapter highlights individual decisions that need to be made before, during, and after a model or set of models has been trained, with an emphasis on proper statistical methods and suitable interpretation of the results.作者: 變形詞 時(shí)間: 2025-3-30 13:30
Book 2008ntial 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
