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Microarray analysis relies on hybridization between probes and targets.
First, microarray analysis relies on fully annotated genes and since the release of the ENCODE project, we now know that novel un-annotated transcripts are constantly being discovered [ 4].
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Also, as we observed in the study, there might be unknown nc-RNAs existing in the circulation, which cannot be studied using microarray analysis relying on pre-designed probes.
Classical microarray data analysis relies mostly on massive application of correlation analysis and linear statistical techniques to simultaneously acquired gene expression profiles.
His analysis relies on household surveys alone.
Microarray analysis cannot be relied on to develop a definitive rank order of the most significant gene products associated with a particular disease or cell state.
To demonstrate this derepression, we adopted a genomewide approach that relied on microarray analysis to determine which transcripts were induced by SYT-SSX2.
Previous studies have relied on microarray analysis to examine gene expression profiles in different tissues of aging organisms.
While subsequent tests of allele-specificity necessarily relied on cells derived from F1 hybrids, for microarray analysis we used an inbred strain (C57BL/6), avoiding potential artifacts due to use of hybrid strains.
Microarray analysis seems an attractive alternative to cDNA subtraction, however, the results in this method rely exclusively on the quality of microarray probes.
The results are particularly relevant for any application relying on cDNA synthesis as an initial step of the procedure, such as RT-PCR, and microarray analysis.
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