Compared to the method based on the microarray manufacturer's recommendations, WTA-based expression profiling generated less than 2% false positive and 9% false negative measurements respectively (Figure 2F).
We construct a gene transcription network based on the microarray expression level.
Selection of the reference genes was based on the microarray results using an algorithm described in Popovici et al. (2009).
Because the gene expression patterns are different in different cell lines (Fig. 1), we analyzed the mRNA levels of different ISG candidates in different cell lines based on the microarray results.
A number of florescence genes with florescence function, many of which have also been associated with colon cancer, were identified as potential biomarkers based on the microarray analysis [42 44].
Several chloroplast genes were found to be differentially regulated based on the microarray analyses.
We next constructed gene networks based on the microarray analysis of active versus inactive SLE patients.
CXCL10 was chosen because it was the most highly activated inflammatory gene based on the microarray datasets.
The gene interactions were identified by using an information theoretic measure of synergy[14] based on the microarray expression data.
One gene was not significantly regulated based on the microarray results but showed a downregulation in the q-PCR analysis.
Some loci which were not supported by FL-cDNA clones (CDS-ANE) were found to be active in transcription based on the microarray analysis in this study.
