Meta-analysis of microarray results: challenges, opportunities, and recommendations for standardization
Meta-analysis of microarray results: challenges, opportunities, and recommendations for standardization
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DOI：
10.1016/j.gene.2007.06.016
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发表时间：
2007-10-15
期刊：
影响因子：
3.5
通讯作者：
McCaffrey, Timothy A.
中科院分区：
文献类型：
--
作者：
Cahan, Patrick;Rovegno, Felicia;McCaffrey, Timothy A.
基因表达的微阵列分析是一种强大的发现工具，但管理和比较所得数据的能力可能存在问题。相同表型/现象的研究之间的生物学、实验和技术差异导致结果存在实质性差异。传统的元分析的原始微阵列数据的应用程序是复杂的微阵列的类型，基因命名法，物种和分析方法的差异。结合多个微阵列研究的另一种方法是比较由研究者对原始数据的分析产生的已发表的基因列表，如注释列表列表（LOLA：www.lola.gwu.edu）和L2 L（depts.NNrashinLton.edu/121/）中所实施的。本综述考虑了数据库的潜在价值和局限性，并使不同的微阵列研究的结果进行比较。此外，交叉研究比较的一个主要障碍是缺乏报告微阵列研究结果的标准。我们提出了一个报告标准：标准微阵列结果模板（SMART），这将有助于集成的微阵列研究。(c)2007 Elsevier B.V保留所有权利。
Microarray profiling of gene expression is a powerful tool for discovery, but the ability to manage and compare the resulting data can be problematic. Biological, experimental, and technical variations between studies of the same phenotype/phenomena create substantial differences in results. The application of conventional meta-analysis to raw microarray data is complicated by differences in the type of microarray used, gene nomenclatures, species, and analytical methods. An alternative approach to combining multiple microarray studies is to compare the published gene lists which result from the investigators' analyses of the raw data, as implemented in Lists of Lists Annotated (LOLA: www.lola.gwu.edu) and L2L (depts.NNrashinLton.edu/121/). The present review considers both the potential value and the limitations of databasing and enabling the comparison of results from different microarray studies. Further, a major impediment to cross-study comparisons is the absence of a standard for reporting microarray study results. We propose a reporting standard: standard microarray results template (SMART), which will facilitate the integration of microarray studies. (c) 2007 Elsevier B.V All rights reserved.