Sentence examples for microarray analysis involving from inspiring English sources

To comprehensively understand the exact molecular mechanism of the class I HDACs regulation, gene expression microarray analysis involving tumor proliferation and metastasis pathways, should be conducted.

Our findings suggest that a more extensive, replicated microarray analysis involving higher numbers of air pouch membranes may be a powerful tool to identify genes that are differentially active in various aspects of inflammation and innate immunity.

Utilizing the B. bronchiseptica long-oligonucleotide microarray, ratio data collected from microarray analysis involving the direct comparison between B. bronchiseptica RB50 and RB54 revealed 1,668 Bvg-regulated genes (identified using SAM with a false discovery rate of <0.1%).

Our data are in agreement with previously reported microarray analysis involving Ts1Cje and disomic littermate control primary neural stem and progenitor cells [ 29] and Ts1Cje P0 mouse whole brains [ 33] or the cerebellum [ 32], which demonstrated a dosage-dependent over-expression of genes on the triplicated segment of MMU16.

Similarly, comparing the list of 420 differentially expressed transcripts with 63 differentially regulated genes identified in a microarray analysis involving LPS administration of chicken liver, muscle and intestinal tissues [ 83] indicated 3 shared transcripts – IL8, Gallinacin (GAL) and epidermal growth factor receptor (EGFR), although 36 of them were present in the total dataset.

Microarray Analysis involved multiple sample analysis including background subtraction, t-Test/ANOVA analysis, clustering and principal component analysis.

Microarray analysis involved Affymetrix microarrays (GeneChip Arabidopsis ATH1 genome array) containing 22,810 probe sets on a single chip.

A major challenge in microarray analysis involves selection of the appropriate statistical tests, which have different assumptions about the data distribution and result in different DEG sets.

An interesting observation that emerged from the results of the miRNA microarray analysis involves the predominantly repressive effect of β4 on global miRNA expression.

Further microarray data analysis involved only statistically significant genes.

The contribution of pathologists is indispensable in analysis involving tissue microarray.