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The SSH data provided only up-regulated genes while microarray data provided both up- and down-regulated genes.
Coincidently, our microarray data provided molecular biological evidence in support of this hypothesis.
Next, to test the potential of the proposed analytical procedure in identification of consensus signaling alterations, we employed the microarray data provided by Galamb et al. (GSE4183) [15] and Sabates-Bellver et al. (GSE8671) [14].
Affymetrix microarray data provided by Weigel World (http://www.weigelworld.org/) was accessed using AtGenExpress Visualization Tool (AVT) (http://www.weigelworld.org/resources/microarray/AtGenExpress/) [29], [30] to analyze the developmental expression of the newly identified CC-TPR genes by inputting their AGI IDs on the homepage.
Our results show that FA is an efficient method to analyze two-color microarray data provided that there is a pre-defined hypothesis reflected in an orthogonal design.
The raw microarray data provided in this study are available in the Gene Expression Omnibus public repository (http://www.ncbi.nlm.nih.gov/geo/; Gene Expression Omnibus series no. GSE51993).
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High-throughput microarray data provide a powerful tool for identifying genes at the genome scale that control pollen development.
Taken together, the microarray data provide a basis for new testable hypotheses regarding enhancement of thymidine productivity and attaining a more complete understanding of nucleotide metabolism in bacteria.
Novel analyses on existing microarray data provide fresh insights and new interpretations into transcriptome-wide changes in expression.
Clinical microarray data provides a useful environment for the investigation: despite being valuable for reuse and extremely costly to collect, is not yet universally shared.
Overall, the microarray data provides a very complex picture of the effect of AZT on inflammatory-related genes, and it is likely that the individual gene effects, such as down-regulation of MUC5AC and MMP9, may be more important to the final inflammatory outcome than the overall global response might predict.
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