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In line with this observation, our microarray data discloses no significantly altered pathways in macronutrient metabolism in aging mice up to the age of 21-months.
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To confirm whether our expression profile could predict prognosis of serous ovarian cancer patients in an independent data set, we selected to use publicly available microarray data (GSE9891) only because the data also disclosed individual clinical characteristics including PFS time.
First, to disclose a novel methodology of analyzing continuous microarray data aimed at discovering sets of genes synergistically associated with a phenotype such as cancer.
TK and RNI analyzed the microarray data.
Thus, understanding microarray data processing steps becomes critical for performing optimal microarray data analysis.
Steps 3.3 and 3.4 extracted drug microarray and disease microarray data respectively.
Fig. 2 Validation of microarray data by quantitative RT-PCR.
The center panels display light vs. dark NSF45K microarray data.
The accession number of the microarray data was GSE73814.
Heat maps were generated using microarray data obtained from AtGenExpress.
Most of the included studies have associated microarray data.
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