Assessment and integration of publicly available SAGE, cDNA microarray, and oligonucleotide microarray expression data for global coexpression analyses

Assessment and integration of publicly available SAGE, cDNA microarray, and oligonucleotide microarray expression data for global coexpression analyses
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DOI:
10.1016/j.ygeno.2005.06.009
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发表时间:
2005-10-01
期刊:
影响因子:
4.4
通讯作者:
Jones, SJM
Jones, SJM
中科院分区:
生物学3区
文献类型:
--
作者:
Griffith, OL;Pleasance, ED;Jones, SJM

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来自几种不同技术的大量基因表达数据正在为科学界提供。一种常见的做法是使用这些数据来计算全局基因共表达以验证或集成其他“ OMIC”数据。为了评估为此目的,我们分析了来自1202个cDNA微阵列实验,242个SAGE库和667个Affymetrix寡核苷酸微芯片微阵列实验的Homo Sapiens数据。比较的三个数据集表现出显着但较低的全球一致性(r(c)
Large amounts of gene expression data from several different technologies are becoming available to the scientific community. A common practice is to use these data to calculate global gene coexpression for validation or integration of other "omic" data. To assess the utility of publicly available datasets for this purpose we have analyzed Homo sapiens data from 1202 cDNA microarray experiments, 242 SAGE libraries, and 667 Affymetrix oligonucleotide microarray experiments. The three datasets compared demonstrate significant but low levels of global concordance (r(c)