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MiRNA microarray was normalized by Lowess normalization algorithm using GeneSpring 10.0 (Agilent Technologies, Foster City, CA, USA).
Any bias in signal intensity between the two fluorescent dye channels in a microarray was normalized by locally weighted linear regression analysis or Lowess normalization [16] using MIDAS (freely available from http://www.tm4.org/midas.html).html
The median value of each microarray was normalized to 500.
The Cy-5 test signal was divided by the control signal (genomic pool) and each microarray was normalized to the mean of the control group.
In the final step of pre-processing, each individual experiment (microarray) was normalized by setting the mean to zero and its standard deviation to one, and each gene was median centered.
Expression data from the microarray was normalized using polynomial fitting.
Similar(52)
To identify the specific RNAs that were associated with each candidate RBP, the Log2 ratios from each microarray were normalized to the average of the Mock arrays (the average of the Mock arrays was calculated after median normalization).
Raw data derived by oligo microarray were normalized using lowess algorithm exploiting MIDAW web tool [ 19].
Signal intensities for an entire microarray were normalized to the 50% percentile median value.
The Cy3/Cy5 ratios of all spots on the DNA microarray were normalized using the global ratio median.
The Cy3/Cy5 ratios of all spots on the DNA microarray were normalized by the global ratio median.
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microarray was tested
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