期刊
NATURE COMMUNICATIONS
卷 5, 期 -, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/ncomms6125
关键词
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资金
- Vienna Scientific Cluster (VSC)
- Vienna Science and Technology Fund (WWTF)
- Baxter AG
- Austrian Research Centres (ARC) Seibersdorf
- Austrian Centre of Biopharmaceutical Technology (ACBT)
- Spanish Ministry of Economy and Competitiveness (MINECO) [BIO2011-27069]
- China's National Supercomputing Center in Guangzhou
- BBSRC [BBS/E/D/20310000] Funding Source: UKRI
There is a critical need for standard approaches to assess, report and compare the technical performance of genome-scale differential gene expression experiments. Here we assess technical performance with a proposed standard 'dashboard' of metrics derived from analysis of external spike-in RNA control ratio mixtures. These control ratio mixtures with defined abundance ratios enable assessment of diagnostic performance of differentially expressed transcript lists, limit of detection of ratio (LODR) estimates and expression ratio variability and measurement bias. The performance metrics suite is applicable to analysis of a typical experiment, and here we also apply these metrics to evaluate technical performance among laboratories. An interlaboratory study using identical samples shared among 12 laboratories with three different measurement processes demonstrates generally consistent diagnostic power across 11 laboratories. Ratio measurement variability and bias are also comparable among laboratories for the same measurement process. We observe different biases for measurement processes using different mRNA-enrichment protocols.
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