Sentence examples for microarray analysis process from inspiring English sources

Gene Ontology has been widely used in genome research applications, and also for the validation of results obtained after a microarray analysis process, such as clustering or biclustering.

As most of the Bioconductor tools for microarray analysis process eSet objects, the package facilitates large-scale analyses of public data.

In the microarray data analysis process, one of the most important steps is to determine whether a gene is differentially expressed under particular conditions since follow-up analysis depends on the selected differentially expressed genes (DEGs).

The microarray data analysis process was performed following the protocol described previously (11).

To address this shortfall we have produced a simple and robust CGH microarray data analysis process that may be automated in the future to understand bacterial genomic diversity.

Therefore, we applied Gene Ontology to validate our result based on the premise that any improvement during the microarray data analysis process should result in tighter clustering of functionally related genes [ 23].

For TSA treated and nontreated samples microarray analysis was processed in the Microarray Shared Research Facility at MSSM.

Further microarray analysis using processed data and the Acuity 4.0 program defined which miRNAs were differently expressed in all of the microarrays performed (infarcted tissue compared to corresponding remote myocardium).

For Affymetrix microarray analysis, RNA was processed and fluorescently labeled according to standard Affymetrix protocols [ 11].

Using a microarray analysis, genes and/or processes involved in this elongation arrest are identified.

For microarray analysis, RNA was processed, reverse transcribed, labeled and hybridized to Mouse 15K cDNA arrays and read on an Illumina BeadArray 500GX reader.