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Recent meta-analysis of microarray datasets showed that some but not all of the ribosomal protein genes are stably expressed.
Analysis of two external OSCC microarray datasets showed a positive correlation between the mRNA expression levels of S100A16 and keratinocyte differentiation markers.
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By Northern blot analysis, CALS5 messages were sufficiently abundant for detection in flower buds, but not vegetative tissues or whole flowers (Fig. 3a), consistent with publicly available microarray datasets showing low, but detectable CALS5 expression, beginning in immature flowers and persisting through pollen development [ 19].
The NSCLC microarray dataset showed RRM2 and TS as biomarkers significantly associated with OS.
Analysis of a publicly available microarray dataset showed that cyclin A2 was the only member of the cyclin family that was significantly downregulated upon GATA3 overexpression in MDA-MB-231 breast cancer cells [ 32] (see Additional file 1: Figure S12).
Comparisons with an expression microarray dataset showed that genes methylated at both promoters and gene bodies had lower expression than genes that were unmethylated or only promoter-methylated in all three tissues.
Again, results on our microarray dataset show the biological relevance of our method.
The microarray dataset showing differentially-expressed genes in hepatocellular carcinoma patients [48] was used to correlate the predicted targets and those differentially-expressed in HCC patients.
Experimental results, based on four-benchmark cancer microarray datasets, show that the mRMR filter method is more effective when it is applied on SVM-RFE.
The present system level network biology analysis from diabetes and obesity microarray expression datasets shows that the interaction across TGFBRII, SMAD3 and GCR along with FFA can induce vascular complications in diabetes.
Analyzing human microarray datasets, we showed that RUNX2 expression is linked to poor survival in ES patients.
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