Sentence examples for microarray profiling used from inspiring English sources

Microarray profiling used to measure the grade of differentiation and estrogen receptor and ERBB2/HER2 status reflected the results obtained by histology and immunohistochemistry.

We were unable to assess a prognostic ability of claudin-1 alone, in part because claudin-1 was not available on the earlier microarray profiling used to collect some of the patient data for analyses.

To investigate the terminal oligosaccharides exposed in the Paracoccidioides EVs surface, we performed lectin microarray profiling using preparations from isolates Pb18, Pb3, and Pb01.

Previously, microarray profiling using the same methods used here identified reported no gene as differentially expressed below 96% FDR [27].

To identify the molecular pathways responsible for MTAP's antitumorigenic phenotypes, we performed RNA microarray profiling using Affymetrix arrays.

Cells were harvested at 8 hours, 24 hours, 96 hours and 10 days for microarray profiling using Affymetrix U133 plus GeneChip® platform.

Among the transcripts that were found in the H56 library (iDC minus monocytes) and were also detectable on the GeneChip microarrays, about a third were concordantly discovered as up-regulated in iDC based on GeneChip microarray profiling using non-subtracted RNA samples (labeled as "GeneChip Concordant" in Figure 4a).

The whole-genome microarray profile used to calculate a patient's GEP70 score can be generated with as little as 15 ng of total RNA; approximately 30,000 CD-138+ plasma cells.

The paper entitled "Detect key genes in classification of microarray data" by Yihui Liu addresses detection of key information from high-dimensional microarray profiles using wavelet analysis and genetic algorithm.

Hierarchical clustering of the strains was performed on the resulting distance matrix of all pair wise distances between strains and bootstrap analysis revealed seven statistically robust clusters of strains which were highly concordant with those obtained by hierarchical clustering of microarray profiles using the Pearson correlation metric (results not shown).

We calculated gene expression in two ways; using a single 3' probe to mimic commonly used 3' based microarray profiling and using the mean of all probes measurements associated with the gene.