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Microarray expression profiles are inherently noisy and many different sources of variation exist in microarray experiments.
Moreover, numerous uninformative genes exist in microarray experiments.
Here, we propose NPMVS (Non-Parametric Mean Variance Smoothing), a method to estimate the mean and variance relationship, which is more general and can capture a wider range of non-linear relationships that exist in microarray experiments (Figure 1).
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In the third section, we displayed the bias existed in microarray experiment and validated the bias by Real Time PCR.
This bias does not exist in microarray data.
Extracted RNA was then used in microarray experiments using Illumina Sentrix HT-12_v3_BeadChip arrays (Illumina, San Diego, California).
GM participated in microarray experiments.
BC collaborated in microarray experiments and drafted the paper.
MH-R participated in microarray experiments and data analysis.
Thousands of genes are usually studied in microarray experiments.
JRS participated in microarray experiments, design and analysis.
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