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Song et al. [ 10] developed a method to identify tissue-specific genes by analyzing microarray data.
Johnson et al. [ 1, 25 ] discovered many exon-skipping events by analyzing microarray data.
By analyzing microarray data of Brodman Area 22 (BA22), susceptible genes for schizophrenia were proposed.
We first verified the accuracy of our methodology by analyzing microarray data of samples with known chemical exposure.
To determine whether there has been divergence in expression patterns of CPK1 and CPK2 since gene duplication, we compared their expression profiles across different organ types by analyzing microarray data from 63 different organ types and developmental stages (Schmid et al. 2005).
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Resulting Q-PCR data were analyzed by one-way ANOVA on a gene by gene basis, as done in analyzing microarray data, but using JMP 5.0 Software SAS IncCaryary, NC).
This is a possible confounder when analyzing microarray data.
In order to assess whether this list is supported by independent experiments, we analyzed microarray data generated with two different genetic mice models.
BB analyzed microarray data by IPA HS, and ODB generated the microarray and the qRT-PCR data, MK provided the microarray facility, TT participated in the design of the study, contributed to the data analysis, and wrote and finalized manuscript.
In order to identify genes significantly altered by pharmacological PPARα activation, we analyzed microarray data of different liver models (i.e. in vitro, ex vivo, and in vivo) treated with the synthetic PPARα agonist Wy14643 using Rank Products RPP) [ 30].
By analyzing microarray expression data, we show that gene body methylation is associated with broad expression throughout development.
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