Research Article
Microarray Normalization Revisited for Reproducible Breast Cancer Biomarkers
Figure 4
RMA single versus RMA global, both in MATLAB implementation (comparison āHā). (a) Distribution profiles of log2-RMA normalized expression values. (b) Histogram of correlation distances of log2-normalized expression values between pairs of pipelines. (c) For all 54675 probe sets of each sample, the 80% quantile (q0.80) is computed and plotted over sample-ID (-axis).
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