Sentence examples for microarray studies has from inspiring English sources

Genomic data, particularly genome-scale measures of gene expression derived from DNA microarray studies, has the potential for adding enormous information to the analysis of biological phenotypes.

In summary, the explosion in microarray studies has promised to shed light on potential disease markers and drug targets.

For instance, a large collection of cancer related microarray studies has been organized at Oncomine Research [25], which has led to novel gene discoveries not robustly identified in the individual datasets [26], [27].

The extent of such spatial biases, which are probably ubiquitous in microarray studies, has not been previously appreciated.

The choice of fold-change or statistical significance approaches to select top candidates in microarray studies has been heavily debated within the analytical community.

Evidence from microarray studies has also revealed differentially expressed genes in oral cavity tumors [ 40- 44], suggesting multiple dimensions of genetic aberrations contributing to OSCC development.

Microarray studies have identified hundreds of SNPs that are linked to common diseases.

Nevertheless, microarray studies have generated new and interesting insights.

Microarray studies have shown that individual synthetic small interfering RNAs (siRNAs) can have substantial off-target effects.

Several microarray studies have explored the DA transcriptome in animal models but varied experimental designs have led to conflicting results.

In 3 of these patients, more than one microarray studies had been performed several months apart, but only the first one was included in this study.