期刊
NATURE BIOTECHNOLOGY
卷 24, 期 7, 页码 832-840出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/nbt1217
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资金
- NEI NIH HHS [EY014466] Funding Source: Medline
- NHLBI NIH HHS [HL66678, HL072370, HL72358] Funding Source: Medline
- NIEHS NIH HHS [ES011387] Funding Source: Medline
Over the last decade, gene expression microarrays have had a profound impact on biomedical research. The diversity of platforms and analytical methods available to researchers have made the comparison of data from multiple platforms challenging. In this study, we describe a framework for comparisons across platforms and laboratories. We have attempted to include nearly all the available commercial and 'in-house' platforms. Using probe sequences matched at the exon level improved consistency of measurements across the different microarray platforms compared to annotation-based matches. Generally, consistency was good for highly expressed genes, and variable for genes with lower expression values as confirmed by quantitative real-time (QRT)-PCR. Concordance of measurements was higher between laboratories on the same platform than across platforms. We demonstrate that, after stringent preprocessing, commercial arrays were more consistent than in- house arrays, and by most measures, one-dye platforms were more consistent than two-dye platforms.
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