A minimum variance method for genome-wide data-driven normalization of quantitative real-time polymerase chain reaction expression data.
A minimum variance method for genome-wide data-driven normalization of quantitative real-time polymerase chain reaction expression data.
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DOI：
10.1016/j.ab.2014.04.021
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发表时间：
2014-08-01
影响因子：
2.9
通讯作者：
Strong M
中科院分区：
文献类型：
--
作者：
Garcia B;Walter ND;Dolganov G;Coram M;Davis JL;Schoolnik GK;Strong M
Advances in multiplex qRT-PCR have enabled increasingly accurate and robust quantification of RNA, even at lower concentrations, facilitating RNA expression profiling in clinical and environmental samples. Here we describe a data-driven qRT-PCR normalization method, the minimum variance method, and evaluate it on clinically derived Mycobacterium tuberculosis samples with variable transcript detection percentages. For moderate to significant amounts of non-detection (~50%), our minimum variance method consistently produces the lowest false discovery rates compared to commonly used data-driven normalization methods.
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影响因子：
3
作者：
Park T;Yi SG;Kang SH;Lee S;Lee YS;Simon R
通讯作者：
Simon R
结核病的化学疗法：过去，现在和未来。
DOI：
10.5588/ijtld.12.0083
发表时间：
2012-06
期刊：
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
影响因子：
--
作者：
Mitchison D;Davies G
通讯作者：
Davies G
影响因子：
64.5
作者：
Stallings CL;Stephanou NC;Chu L;Hochschild A;Nickels BE;Glickman MS
通讯作者：
Glickman MS
影响因子：
3
作者：
Mar JC;Kimura Y;Schroder K;Irvine KM;Hayashizaki Y;Suzuki H;Hume D;Quackenbush J
通讯作者：
Quackenbush J
影响因子：
14.8
作者：
Nolan, Tania;Hands, Rebecca E.;Bustin, Stephen A.
通讯作者：
Bustin, Stephen A.