Sentence examples for microarray data identifying from inspiring English sources

These genes were cross referenced with published microarray data identifying circadian variation in gene expression [23], [24], [25], [26], [27].

The metabonomic observations were consistent with the parallel analysis of gene expression and pathway mapping using microarray data, identifying metabolites and gene transcripts involved in hepatic metabolism, especially for taurine, choline and creatinine metabolism.

The t-test on microarray data identified miRNAs that were differentially expressed between sepsis and control patients (p<0.01, FDR<0.09).

Similar analysis of the custom/Agilent microarray data identified 6311 T-DMRs across chromosomes 13, 18 and 21[24].

Comparison of active versus inactive SLE microarray data identified a total of 30 central nodes; in contrast comparison of SLE versus healthy controls revealed only 19 central nodes.

Our microarray data identified several genes that are involved in the invasion of cancer cells, but knockdown of CD10 expression did not affect the expressions of these genes.

Statistical analyses of the microarray data identified the presence of DNA methylation changes associated with the 16 different subtypes of HNs under study.

Two-way ANOVA of microarray data identified 103 genes that were significantly (>2 fold) modulated by the implant placement and vitamin D deficiency.

A hierarchical clustering of the microarray data identified two clusters of samples, shown in Figure 1 and in dendrogram form in Figure 2, a PC group and a healthy control group.

Since, in addition to CXCL12 and CD26, the microarray data identified significant upregulation of transcript levels in ES differentiation of the chemokine CXCL10, and because CD26 is able to regulate multiple chemokines, a role for 5T4 in the expression and function of other chemokine receptors, including the CXCL10 receptor CXCR3 [34] and the other CXCL12 receptor CXCR7, was investigated.

Principal Component Analysis (PCA) on microarray data identified two clusters of samples.