Sentence examples for microarray data sources from inspiring English sources

Unlike the past work on database interoperation in the bioinformatics community, this database design will take into account the important issues in microarray data integration including a lack of a common shared microarray-ontology and having dynamic data representation of the microarray data sources.

Meta-analyses of large publicly available microarray data sources, such as GeneExpressionOmnibus [7] and ArrayExpress [8] have been shown to facilitate the analysis gene expression across healthy and disease states [9], [10], [11].

21, 24 The microarray data sources were obtained from the Gene Expression Omnibus (GEO).

Gene expression in HeLa cells and normal fibroblasts, both of which were treated with 2.5 mM DTT, were our microarray data sources.

Meta-analyses of public microarray data sources offer insights into the genome-wide gene expression in health and disease [ 14, 15].

Finally, our analysis provides a framework for transcription inference by integrating microarray data with other data sources.

We used microarray data from two sources for our analysis.

Moreover, RP has proved to be a robust method for comparing microarray data from different sources and experiments [20].

Microarray data from different sources and platforms are publicly available, but integration is not straightforward, due to platform and experimental differences.

In the case of the Arabidopsis, Cell and Mouse eFP Browsers, we have mirrored publicly-available microarray data from several sources – described in the Data Sources and subsequent two sections – in our Bio-Array Resource [10].

Microarray data from two sources (Figures 4, S2, and S3) supported the findings of the EST profiling results, as ubiquitous expression of both DIA1 and DIA1R was found, including expression in brain tissue.