Normalization and quantification of differential expression in gene expression microarrays

Christine Steinhoff; Martin Vingron

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Normalization and quantification of differential expression in gene expression microarrays

机译：基因表达微阵列中差异表达的标准化和定量

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Array-based gene expression studies frequently serve to identify genes that are expressed differently under two or more conditions. The actual analysis of the data, however, may be hampered by a number of technical and statistical problems. Possible remedies on the level of computational analysis lie in appropriate preprocessing steps, proper normalization of the data and application of statistical testing procedures in the derivation of differentially expressed genes. This review summarizes methods that are available for these purposes and provides a brief overview of the available software tools.

机译：基于阵列的基因表达研究通常用于鉴定在两种或多种条件下表达不同的基因。但是，实际的数据分析可能会受到许多技术和统计问题的阻碍。在计算分析水平上可能的补救措施在于适当的预处理步骤，适当的数据标准化和统计测试程序在差异表达基因的推导中的应用。这篇综述总结了可用于这些目的的方法，并简要概述了可用的软件工具。

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来源
《Briefings in bioinformatics》 |2006年第2期|共12页
作者
Christine Steinhoff; Martin Vingron;
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原文格式 PDF
正文语种 eng
中图分类遗传学;
关键词
microarray; normalization; low-level analysis; differential gene expression;

机译：基因芯片;归一化;低水平分析;差异基因表达;

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1. Normalization and quantification of differential expression in gene expression microarrays [J] . Christine Steinhoff, Martin Vingron Briefings in bioinformatics . 2006,第2期

机译：基因表达微阵列中差异表达的标准化和定量
2. Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays [J] . Joshua S Bloom, Zia Khan, Leonid Kruglyak, BMC Genomics . 2009,第1期

机译：通过短读测序测量差异基因表达：与2通道基因表达微阵列的定量比较
3. Normalization with genes encoding ribosomal proteins but not GAPDH provides an accurate quantification of gene expressions in neuronal differentiation of PC12 cells [J] . Lihan Zhou, Qing-En Lim, Guoqiang Wan, BMC Genomics . 2010,第1期

机译：用编码核糖体蛋白而不是GAPDH的基因进行归一化可准确定量PC12细胞神经元分化中的基因表达
4. Highlighting Differential Gene Expression between Two Condition Microarrays through Heterogeneous Genomic Data: Application to Lesihmania infantum Stages Comparison [C] . Liliana Lopez Kleine, Victor Andres Vera Ruiz Advances in bioinformatics . 2010

机译：通过异构基因组数据突出显示两个条件微阵列之间的差异基因表达：在婴儿利什曼原虫阶段比较中的应用
5. Statistical Methods for Differential Expressions of Genes Detected in Multiple-Condition Experiment of Microarray. [D] . Tan, Yuande. 2010

机译：在微阵列多条件实验中检测到的基因差异表达的统计方法。
6. Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays [O] . Joshua S Bloom, Zia Khan, Leonid Kruglyak, 2009

机译：通过短读测序测量差异基因表达：与2通道基因表达微阵列的定量比较
7. Normalization and quantification of differential expression in gene expression microarrays [O] . C. Steinhoff 2006

机译：基因表达微阵列中差异表达的标准化和定量
8. Bayesian Robust Inference for Differential Gene Expression in cDNA Microarrays with Multiple Samples. [R] . Gottardo, R., Raftery, A. E., Yeung, K. Y., 2004

机译：多样品cDNa微阵列差异基因表达的贝叶斯稳健推断。

Normalization and quantification of differential expression in gene expression microarrays

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