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Titlebook: Microarray Technology and Cancer Gene Profiling; Simone Mocellin Book 2007 The Editor(s) (if applicable) and The Author(s), under exclusiv

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发表于 2025-3-21 18:21:21 | 显示全部楼层 |阅读模式
书目名称Microarray Technology and Cancer Gene Profiling
编辑Simone Mocellin
视频videohttp://file.papertrans.cn/633/632852/632852.mp4
概述Each chapter is written by a leader in the field.Contains detailed illustrations
丛书名称Advances in Experimental Medicine and Biology
图书封面Titlebook: Microarray Technology and Cancer Gene Profiling;  Simone Mocellin Book 2007 The Editor(s) (if applicable) and The Author(s), under exclusiv
描述.Cancer is a heterogeneous disease in most respects, including its cellularity, different genetic alterations and diverse clinical behaviors. Traditional molecular analyses are reductionist, assessing only one or a few genes at a time, thus working with a biologic model too specific and limited to confront a process whose clinical outcome is likely to be governed by the combined influence of many genes. The potential of functional genomics is enormous, because for each experiment, thousands of relevant observations can be made simultaneously. Accordingly, DNA array, as other high throughput technologies, might catalyze and ultimately accelerate the development of knowledge in tumor cell biology. Although in its infancy, the implementation of DNA array technology in cancer research has already provided investigators with novel data and intriguing new hypotheses on the molecular cascade leading to cancerogenesis, tumor aggressiveness and sensitivity to antineoplastic agents. Given the revolutionary implications that the use of this technology might have in the clinical management of cancer patients, principles of DNA array-based tumor gene profiling need to be clearly understood for
出版日期Book 2007
关键词DNA; Microarray; PCR; SNP; Tumor; classification; gene expression; genes; genome
版次1
doihttps://doi.org/10.1007/978-0-387-39978-2
isbn_softcover978-1-4419-2298-4
isbn_ebook978-0-387-39978-2Series ISSN 0065-2598 Series E-ISSN 2214-8019
issn_series 0065-2598
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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发表于 2025-3-21 23:51:33 | 显示全部楼层
Technological Platforms for Microarray Gene Expression Profilinge. DNA microarray technology is evolving rapidly and there are now numerous high-density platforms available which differ in terms of probe content, design, deposition technology, labeling and hybridization protocols. However, two major platforms for high-density microarray manufacture are in common
发表于 2025-3-22 04:26:02 | 显示全部楼层
Principles of Gene Microarray Data Analysisf gene expression (SAGE), and gene microarray, together with the sequencing of the human genome, has provided an opportunity to monitor and investigate the complex cascade of molecular events leading to tumor development and progression. The availability of such large amounts of information has shif
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Gaining Weights ... and Feeling Good about It! spot quality information in inference except by all-or-nothing spot filtering. In this chapter we propose an approach based on using weights to overcome these two problems. The first approach uses weighted p-values to make inference robust to normalization and the second approach uses weighted spot
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Complementary Techniquesused for high-throughput analyses. While precise estimates of the level of DNA concentration in a given specimen is rarely studied (with the exception of relatively crude analyses of gene amplification or loss in cancer specimens), it is critical to know the proportional expression of various RNA tr
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Complementary Techniquess need to be validated with highly reliable biotechniques allowing for precise quantitation of transcriptional abundance of identified genes. Quantitative real time PCR (qrt-PCR) technology has recently reached a level of sensitivity, accuracy and practical ease that support its use as a routine bio
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Gene Profiling for the Prediction of Tumor Response to Treatmentely studied specific interactions between immune and cancer cells and have identified cofactors that may modulate the effectiveness of such interactions. In particular, as a result of the increasing molecular understanding of the basis for tumor/host interactions, their complexity has become manifes
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Identification of Molecular Determinants of Tumor Sensitivity and Resistance to Anticancer Drugsell lines selected for growth in the presence of sublethal concentrations of various anticancer drugs. They involve drug transport and detoxification, qualitative or quantitative alterations of the drug target, repair of drug-induced DNA lesions, and alterations in signaling or execution of apoptosi
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