Sentence examples for microarray methodology to from inspiring English sources

In our current study, we employed a microarray methodology to search for potential candidate genes that may discriminate aggressive cases of CLL according to the sex of the patient.

A significant number of light pulse- and blood feeding-regulated genes were most likely not identified in these assays because of limitations of the microarray methodology to detect mRNA of lower abundance.

In this study we assessed the respective ability of Affymetrix and Illumina microarray methodologies to answer a relevant biological question, namely the change in gene expression between resting monocytes and macrophages derived from these monocytes.

We applied DNA microarrays methodology to analyse transcriptomic changes following skin exposure to different doses of 14 MeV neutron irradiation.

The sensitivity of the microarray methodology with respect to the known pathogenic mutations was defined as the proportion of true positives detected by the microarray, while the specificity was defined as the proportion of true negatives detected.

We use high-resolution microarray methodology [ 37] to comparatively study gene expression for ~42,000 genes in diploid and allotetraploid cotton species at an early stage of fiber development.

Recently next generation sequencing technology in combination with microarray methodology [ 16] has been demonstrated to be a fast and reliable tool for analysis of large genes such as NEB[ 15].

Microarray methodology was developed as an epochal method to simultaneously analyze enormous data sets for gene expression patterns in various biological conditions [ 7].

It is therefore likely that some of the probes that did not hybridize will be revealed to be due to sequence divergence or other limitations of microarray methodology.

Due to the relatively high uncertainty of microarray methodology, the discrepancies between these expression patterns may have resulted from the differences of specific operations or the selected tissues.

This three-color microarray methodology can be utilized for pre-hybridization quality assessment [ 18], to facilitate automated post-hybridization image analysis [ 24], as well as post-hybridization data filtering [ 19].