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Candidate reference genes were pre-screened from public transcriptome microarray datasets by a novel systematic strategy, and then experimental evaluation of the candidates was conducted using qRT-PCR and a rigorous statistical analysis.
The gene targets of highly expressed miRNAs on aggregate tend to display a lower overall expression [23], [33], which can be detected in microarray datasets by comparing their expression levels of target vs. non-target mRNAs with a Wilcoxon rank-sum test [34].
Also, we explored BLBC and TNBC in two large microarray datasets by comparing the expression levels of the five markers according to the subtypes.
Thus, we used this opportunity to compare and contrast metagene score distributions between the SURGbx and FNAbx microarray datasets by box and whisker plot analysis (Additional file 2).
The package simplifies CNV analysis, facilitating validation and optimization of QC thresholds and we would encourage researchers with large ImmunoChip, MetaboChip or other custom genotyping array datasets, to obtain further value from their microarray datasets by exploring rare CNV associations with their phenotype.
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The protein dataset was further compared to the microarray dataset by extracting the GI numbers from the protein results.
The breast carcinoma microarray dataset by Ambs and colleagues distinguished between genes expressed by tumor cells versus stromal cells [ 24].
Our results demonstrated that it is feasible to identify the differentially expressed lncRNA in the microarray dataset by functional reannotation.
Similarly, we generated a random mRNA microarray dataset by randomly choosing the same number of mRNA microarray data from the original mRNA microarray dataset.
It can sample from these transcriptional regulatory networks, and produce corresponding microarray datasets parameterized by the network topology, size of the network/number of genes, and type of experimental noise etc. Network topologies are generated by selecting sub-networks from a previously described Ecoli network.
Some databases like GEO Barrettt et al., 2007) and ArrayExpress (Parkinson et al., 2009) generally deposit microarray datasets produced by various experiments.
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