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Predicting gene expression itself is of relatively low interest in practice, as biologists can easily measure gene expression with experimental methods such as DNA microarray or quantitative RT-PCR.
However, all these studies have used a microarray or quantitative polymerase chain reaction (qPCR) platform.
Chromatin immunoprecipitation experiments, followed by intergenic microarray or quantitative PCR analyses, were performed as previously described [ 2].
Massively parallel sequencing for transcriptome profiling generates digital counts of gene expression levels compared to the "analog" hybridization signals from the traditional microarray or quantitative PCR methods.
Until the development of Next-generation sequencing (NGS) technologies, most mRNA expression studies have used microarray or quantitative PCR-based (qPCR) approaches.
We performed quantitative PCR, which confirmed the significant correlation between expression measured by microarray or quantitative PCR (supplementary figure 5, available online only).
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The increased IL-8 protein secretion was not reflected in the mRNA levels, as determined by microarrays or quantitative PCR.
Numerous studies have investigated the prognostic importance of mRNA expression, as measured by microarrays or quantitative PCR, from single genes or sets of genes in different breast cancer subgroups [14], [18], [19], [25].
Most of the tests either focus on gene expression microarrays or quantitative reverse transcription (qRT -PCR analyses.
The advantage of this assay is that no RNA amplification is needed, unlike microarrays or quantitative PCR.
This assay does not require any RNA amplification, unlike microarrays or quantitative PCR, and is both sensitive and accurate [ 21].
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