Sentence examples for microarray platforms employ from inspiring English sources

Currently, many gene expression microarray platforms employ a dynamic hybridization method to generate repeatable and reproducible data.

Different microarray platforms employ different designs.

Briefly, 499 published cancer related gene expression microarray studies were scrutinized for: 1) aim of the study; 2) microarray platforms employed; 3) organism being investigated; and 4) feasibility of cross-platform annotation of published gene expression signatures.

The present study has contributed to identify differences in gene expression during ovarian development in Senegalese sole despite that, at this point, the microarray platform employed was not ovary-specific and contained a limited number of represented genes.

It is likely that although some of the differences between TK21 and the other strains may be due to differences in the microarray platform employed and data analysis methodology used, these factors cannot account for the significant differences identified between S. lividans 66 and TK24.

It remains to be determined if nonadditive expression detected for other genes in our microarray analysis might be explained by specific homoeologous rearrangements in the lines, since the microarray platform we employed was unable to distinguish between related transcripts.

Reviewer comments: In this work, Novak et al. analyzed the statistical properties of gene expression level data generated from the Illumina GEX Sentrix™ microarray platform, which employs a fiberoptic bead-based approach to measuring expression levels.

With these probes 4 × 44 K slides were produced on the Agilent microarray platform and employed for an initial validation of the predicted transcript sequences by hybridization with the Pool samples of P. pastoris (for preparation of Pool samples see Material and Methods).

Multiplexed immunoassays based on protein microarray platforms have been broadly employed in the discovery and validation of disease-associated biomarkers as well as in clinical diagnostics research [20] [25].

There is also strong evidence indicating that the currently employed microarray platforms can support the quantitative analysis of cell and tumor transcriptional programs.

For example, a gene that is listed in two studies that employ different microarray platforms and statistical methods could be considered more meaningful than a gene that is listed in two studies that employ the same microarray platform and statistical methodology.