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Figure 3 | BMC Research Notes

Figure 3

From: A novel mean-centering method for normalizing microRNA expression from high-throughput RT-qPCR data

Figure 3

Variance explained by sample origin. Bars show the percent variance explained by sample origin (tissue type) based on weighting results from a univariate random effect model using the eigenvalues from principal component analysis (PCA). We used the first three principal components and their corresponding eigenvalues for weighting (See reference [13] for more information). In general, MCR normalization tends to reveal more of the biological differences between samples, and shows nominal improvement over other miRNA (gene)-specific normalization methods.

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