Sentence examples for microarray application in from inspiring English sources

With the success of the microarray application in genomic research, more investigators are willing to use microarray experiment.

This is due to the fact that microarray application in miRNome research has several limitations, including hybridization and cross-hybridization artifacts, dye-based detection issues and design constraints that preclude or seriously limit the detection of newly discovered miRNAs or previously unmapped, novel miRNAs [ 44].

Microarray applications in aquatic toxicogenomics will range from the discovery of diagnostic biomarkers, to establishment of stress-specific signatures and molecular pathways hallmarking the adaptation to new environmental conditions.

The substantial savings in initial array construction are likely to be especially advantageous for microarray applications in which oligonucleotide quality control is the primary consideration.

This offers further evidence for the lack of significant differences among a large number of classification methods reported for microarray applications in terms of the predictive performance[35], a conclusion also proposed by the newly-finished community-wide study, MAQC-II [24].

This is particularly apparent in microarray applications in cancer research due to complexities arising from molecular and pathophysiological classifiers that are different 24.

DNA microarrays have been successfully used to study relative abundances of RNA and DNA, and in this paper we presented a microarray application for mapping insertion elements in microbial genomes.

In the microarray application, the nonlinear characteristics and small sample sizes always cause high FPR and low SP when detecting the DEGs with current popular methods.

Because the sample size is much smaller than the size of genes under most circumstances in the microarray application, and the small sample size makes the law of large number invalid [24], [25], it indicates that the mean and variance contain insufficient information of the data when the sample size is small.

The results presented also validated the usefulness of the design methodology and it is currently being applied to assist in a new microarray application associated with other genetically diverse viruses.

These results are described below, in conjunction with differentially expressed genes identified through microarray application.