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Their example data were comprised of DNA microarray expressions and phylogenic reconstructions, with class labels corresponding to gene function.
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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).
AS and MEL provided microarray expression and survival data.
Pearson's correlations were calculated between microarray expression and qPCR values.
The microarray expression and ChIP-chip data have been submitted to the NCBI Gene Expression Omnibus Database (GSE46811).
To address this problem we have devised a computational method that combines microarray expression and site preference data.
There was a significant positive correlation between miR-520g microarray expression and RQ-PCR (R = 0.4, P = 0.029, Pearson).
Cluster 3.0 (Eisen et al. 1998) and Java Treeview 1.1.6r2 (Saldanha 2004) were used to create heat-map images of microarray expression and ChIP-chip data.
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