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Figure 3 | BMC Bioinformatics

Figure 3

From: Kernel density weighted loess normalization improves the performance of detection within asymmetrical data

Figure 3

MA plots for probe-level normalization using data without the empty genes. (a) Data are normalized with quantile normalization and summarized with the median of each probe set. (b) Data are normalized with loess normalization and summarized with the median of each probe set. (c) Data are first background-corrected with GCRMA and normalized with quantile normalization. The expression summary is then computed using median polish. (d) Data are first background-corrected with GCRMA and normalized with loess normalization. The expression summary is then computed using median polish. The red points are the 1× genes and the green ones are spiked with higher concentration in the S group than in the C group.

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BMC Bioinformatics

ISSN: 1471-2105

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