Sentence examples for by modern microarray platforms from inspiring English sources
If inference methods are to be applied to data of the scale generated by modern microarray platforms, a feature selection step is usually required to reduce the size of the inference problem; attempts to apply network inference to such large-scale datasets may be premature, and consideration should be given to focusing the biological question to use smaller-scale higher-quality experimental data.
GeneChip® Exon 1.0 ST is a new microarray platform developed and marketed by Affymetrix [ 1].
A new microarray platform (GeneChip® Exon 1.0 ST) has recently been developed by Affymetrix.
External RNA controls (ERCs), which can be either added to the total RNA level (tERCs) or introduced right before hybridization (cERCs), are designed and recommended by commercial microarray platforms for assessment of performance of a microarray experiment.
Furthermore, although URSA is trained on data from the single most popular microarray platform, it is able to make tissue/cell-type predictions (without re-training) for samples measured by other microarray platforms and even by next-generation RNA sequencing.
The first step in any meta analysis of microarray data is to find the set of genes which is shared by all microarray platforms used in the analysis.
Cross-species comparisons of microarray studies are complicated by differences in microarray platforms and chemistry, hybridization efficiencies, experimental design, and statistical analyses.
The composite dataset incorporated 232 microarray comparisons of RNA samples by single or dual microarray platforms, cDNA or oligonucleotide based probes, and human or mouse sequence information.
