Sentence examples for microarray data set from inspiring English sources

(a) The expression levels of ECM-related genes is upregulated across models (marked in bold in A, C) in a separate microarray data set in comparisons between albumin vs. albumin + TGFβ receptor (R) blockers.

Coexpression analysis was performed based on the expression profile of 5400 NRGs in 179 microarray data set.

The rank was then converted into weighted rank score (WRS), which reflects variety of samples in each microarray data set (Additional file 1: Materials and Methods).

To test this hypothesis, we applied a bimodal discovery algorithm to a publicly available ovarian cancer expression microarray data set, GSE9891 [285 tumors: 246 malignant serous (MS), 20 endometrioid (EM), and 18 low malignant potential (LMP) ovarian carcinomas].

We applied AFA on a microarray data set from PCa cells treated with HDACis.

These significant findings were replicated using a second, independent microarray data set.

We present the first DNA microarray data set of cells actually grown under anaerobic, phototrophic conditions.

The microdissected microarray data set is archived in the gene expression omnibus repository (GEO accession: GSE7685).

These numbers slightly vary per source as the 5000 most varying genes selected from each microarray data set differ.

This data correlates well with the up-regulation of Ngn3 in the e18.5 microarray data set (Supplementary Material Table S2B).

Using these miRs, we also generated a network of pathways from differentially regulated genes in cDNA microarray data set.