Sentence examples for microarray studies discussed from inspiring English sources

To further validate our clustering results we looked at several well known genes associated with meiosis and their corresponding clusters in the present study, as well as in the three microarray studies discussed above (Table  1; see also Additional file 1: Table S3 for an extended list of genes assigned with Gene Ontology terms meiosis and spermatogenesis).

Microarray studies (as discussed in the next section) could be useful tools to try to understand the mechanism underlying these results.

Both of the studies discussed in this subsection are showing the usefulness of microarray gene expression data as they can be used for determining both: if a patient will relapse back into cancer as well as which subtype of cancer a patient has.

Studies discussed in Sect.

Finally, we will discuss why microarray studies have so far failed to identify new targets, and how we might be able to improve on these results through large-scale genotyping of tumours.

To illustrate the statistical issues involved we discuss three microarray studies related to the microenvironment and tumor biology involving: (i) prostatic stroma cells in cancer and non-cancer tissues; (ii) breast stroma and epithelial cells in breast cancer patients and non-cancer patients; and (iii) serum associated with wound response and stroma in cancer patients.

For small networks the limited number of replicates used for most microarray studies available today are adequate; for larger networks other options are discussed.

We discuss how the samples should be arranged in two-dye microarray studies when the objective is to investigate associations between gene expression and quantitative traits measured on each sample.

Moreover, with a few exceptions (discussed in the following), the expression of these genes can be seen in microarray studies.

Last year, Karumanchi reviewed the data from his initial microarray studies and identified a second protein that could damage endothelial cells: endoglin.

Nevertheless, microarray studies have generated new and interesting insights.