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Derivation of amniocyte-derived iPS (AdiPS) cell colonies, which express pluripotency markers and exhibit appropriate microarray expression and DNA methylation properties, was facilitated by live immunostaining.
Automatically predicted pathways were then curated manually using microarray expression and proteome data.
To ascertain our predictions, we then used microarray expression and proteome sequencing data onto the predicted pathways.
Pearson correlation coefficients of microarray expression and real-time RT-PCR data were 0.89 and 0.97 for 106/176I and 106/176I-352K, rexcludingly (excluding those deleted genes).
Pearson's correlations were calculated between microarray expression and qPCR values.
AS and MEL provided microarray expression and survival data.
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Their example data were comprised of DNA microarray expressions and phylogenic reconstructions, with class labels corresponding to gene function.
MC performed the data normalization and microarray expression comparison and contributed to the array analyses.
FKR performed the alignments, phylogenetic, motif composition, promoter and microarray expression analyses, and participated in qPCR experiments.
When coupled with a microarray expression database and data analysis and viewing tools, these data can serve as a foundation for proposing hypotheses and performing dedicated research.
Two knowledge-based approaches, CANDID and STRING, were used to systematically identify BAV genes, and their SNPs, from the published literature, microarray expression studies and a genome scan.
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