Expression technology - A review of the performance and interpretation of expression microarrays

Stafford P.; Yidong Chen

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Expression technology - A review of the performance and interpretation of expression microarrays

机译：表达技术-表达微阵列的性能和解释综述

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Molecular profiling has become a fundamental part of biomedical research, but much more importantly, it is now a direct part of health care. This device for highly parallel measurements of gene expression was once restricted to pure research laboratories. It has now taken its place next to pathology reports as a tool to validate and elaborate upon cellular phenotypes that provide clues to disease status and progression. This article describes general tendencies of the most widely used profiling device, the gene expression array, with some attention paid to other technologies such as head-based devices and e-detection. The paper also examines the characteristics of this technology that makes it so dependent upon robust data normalization and also examines the biological consequence of error

机译：分子谱分析已成为生物医学研究的基础部分，但更重要的是，它现在已成为卫生保健的直接部分。这种用于基因表达高度平行测量的设备曾经仅限于纯研究实验室。现在，它已取代病理报告而成为一种工具，可用于验证和阐明可为疾病状况和进展提供线索的细胞表型。本文介绍了最广泛使用的剖析设备（即基因表达阵列）的一般趋势，并关注了其他技术，例如基于头的设备和电子检测。本文还研究了该技术的特性，使其非常依赖可靠的数据归一化，还研究了错误的生物学后果。

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《IEEE Signal Processing Magazine》 |2007年第1期|p.18-26|共9页
作者
Stafford P.; Yidong Chen;
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原文格式 PDF
正文语种 eng
中图分类通信理论;
关键词
array signal processing; cellular biophysics; diseases; health care; medical signal processing; biomedical research; cellular phenotypes; disease status; expression microarrays; expression technology; gene expression array; head-based devices; molecular profiling; pa;

机译：阵列信号处理;细胞生物物理学;疾病;卫生保健;医学信号处理;生物医学研究;细胞表型;疾病状态;表达微阵列;表达技术;基因表达阵列;基于头的装置;分子谱;PA;

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专利

1. Navigating gene expression using microarrays--a technology review. [J] . Schulze A, Downward J Nature cell biology . 2001,第8期

机译：使用微阵列导航基因表达-技术评论。
2. Comparison of gene expression microarray data with count-based RNA measurements informs microarray interpretation [J] . Arianne C Richard, Paul A Lyons, James E Peters, BMC Genomics . 2014,第1期

机译：基因表达微阵列数据与基于计数的RNA测量值的比较有助于微阵列解释
3. Cross-platform comparison of SYBR? Green real-time PCR with TaqMan PCR, microarrays and other gene expression measurement technologies evaluated in the MicroArray Quality Control (MAQC) study [J] . Emi Arikawa, Yanyang Sun, Jie Wang, BMC Genomics . 2008,第1期

机译：SYBR跨平台比较？通过TaqMan PCR，微阵列和其他基因表达测量技术进行的绿色实时PCR在微阵列质量控制（MAQC）研究中进行了评估
4. Detection of Gene Expressions in Microarrays by Applying Iteratively Elastic Neural Net [C] . Max Chacon, Marcos Levano, Hector Allende, Adaptive and Natural Computing Algorithms pt.2; Lecture Notes in Computer Science; 4432 . 2007

机译：应用迭代弹性神经网络检测微阵列基因表达
5. Detection of differential gene expression in ovarian granulosa cells from swine and cattle using microarray technology. [D] . Grado-Ahuir, Juan Alberto. 2008

机译：使用微阵列技术检测猪和牛卵巢颗粒细胞中的差异基因表达。
6. Comparison of gene expression microarray data with count-based RNA measurements informs microarray interpretation [O] . Arianne C Richard, Paul A Lyons, James E Peters, 2014

机译：基因表达微阵列数据与基于计数的RNA测量值的比较有助于微阵列解释
7. Comparison of gene expression microarray data with count-based RNA measurements informs microarray interpretation [O] . 2014

机译：基因表达微阵列数据与基于计数的RNA测量值的比较有助于微阵列解释

Expression technology - A review of the performance and interpretation of expression microarrays

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