Sentence examples for by mining a microarray from inspiring English sources

Matching gene-expression and miRNA profiles of 215 sporadic breast cancer specimens were obtained by mining a microarray dataset described by Buffa et al. [ 23], in GEO (Accession number GSE22220), samples BCmicroRNA 1 to 110).

By mining the data from several validation datasets it was possible to determine which factors contribute to the variance in normalized DNA-microarray data.

We hypothesized that genes under the control of CBP60g and SARD1 could be identified by mining public gene expression data for genes co-expressed with the 45 genes whose expression was found to be suppressed in cbp60g, sard1 or cbp60g sard1 mutant plants using a small defence-related custom microarray (GEO: GSE18865 [ 20]).

The initial set of genes extracted from each source will be further extended from a source specific network, once by utilizing a microarray based network and the other by utilizing a text-mining based network, by including their direct neighbors for further analysis.

By data mining in microarray datasets we found that expression of DLX2 occurred in 21.6% of patients, and was significantly correlated with prolonged disease-free survival and reduced incidence of relapse.

Expression data for a time course of asexual development was mined from microarray data (Greenwald et al. 2010).

Here the expression profiles of the six OsRUS genes were data-mined from microarray, EST and MPSS publicly available databases and generated by qRT-PCR approach, respectively.

By mining data from our prior microarray study [ 47], reliable signals were obtained for 221 ePK genes in one or more of the three developmental stages.

Here it is shown that gene set analyses provides a simple, yet effective, method by which to mine microarray data.

The heat map was produced by mining out only the 7,539 H. glycines microarray probe sets on the Affymetrix® soybean GeneChip®.

Thus instead of identifying disease related or drug related genes from an expert-curated source, we will be utilizing text mining and microarray data as genes associated with a complex disease pathway are not all identified.