Sentence examples for microarray dataset showed from inspiring English sources

The NSCLC microarray dataset showed RRM2 and TS as biomarkers significantly associated with OS.

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.

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).

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.

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.

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].

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.

In the present study, we first generated a DNA microarray dataset, which showed that ECPsp upregulated proinflammatory molecules, including chemokines, interferon-induced molecules, and Toll-like receptors.

Additional gene expression analysis in an independent cDNA microarray dataset (N=24) showed a negative correlation (R=−0.73, P<0.0001) between the RPS6 and the VEGFR2 gene, which is consistent as the gene expression and phosphorylation of S6 is inversely regulated.