The results of microarray analysis are shown in Fig. 2.
New assays, such as microarray analysis, are potential predictive tools for this purpose.
Experimental design considerations for applying 4TU‐tagging to different systems and protocols for cell type specific RNA tagging, purification, and microarray analysis are covered in this chapter.
On the other hand, gene expression data obtained by the microarray analysis are usually moderately correlated with the expression levels of corresponding protein products due to the post-transcriptional regulation.
In this article, combined methods of dynamic programming prediction, enrichment of sRNAs, and microarray analysis are developed to screen and evaluate a new class of sRNAs from introns of human, protein-encoding genes.
Results from the microarray analysis are shown in Figure 3A.
The results of the microarray analysis are summarized in Figure 1A.
All the data sets used in the microarray analysis are available in Table S1.
Full details of the patients involved in the microarray analysis are given elsewhere [23] (and Noble 2009, submitted to Gut).
An overview of the skin tissue samples used for the multi-class SAM microarray analysis are shown in Supplementary Table S4.
Despite the underestimation of fold change, the strong correlation between results from microarray and qRT-PCR indicate that the data obtained from the microarray analysis are highly reliable.
