Sentence examples for microarray datasets analyzed from inspiring English sources

The microarray datasets analyzed in this article are available in Gene Expression Omnibus, accession number GSE80748.

For example, Rhodes et al. [ 11, 12] combined results from four prostate cancer microarray datasets analyzed on different platforms.

In addition, using limited microarray datasets analyzed in this paper, the variation in DDX5 levels was also relatively small in other cancer cell lines, raising the possibility that DDX5 could serve as a novel internal control.

The microarray dataset, analyzed in this work, was provided by a study comparing the normal and the CML hematopoietic stem/progenitor cells in gene expression [ 27].

The microarray datasets were analyzed using Ingenuity pathway analysis software (IPA, Ingenuity ® Systems, www.ingenuity.com, Mountain View, CA, USA) described in Text S1.

The microarray datasets were analyzed and a matrix was constructed to determine distribution of variants.

Multiple microarray datasets were analyzed to determine the correlation between FoxM1 and PTTG1 mRNA levels.

Human tissue and cell line microarray datasets were analyzed using GeneSpring GX 12.0 microarray analysis software (Agilent).

The same four prostate cancer microarray datasets were analyzed using an alternative method by Rhodes et al. [ 4].

Both of the two-color microarray datasets were analyzed using LIMMA [ 109] and MAANOVA [ 110], microarray analysis libraries for the R statistical programming language [ 111].

Using both publicly available and our own microarray datasets we analyzed the detection p-value and detection call values for 81 human kidney samples run on the U133A or U133Plus2.0 Affymetrix microarrays (Affymetrix, Santa Clara, CA).