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Figure 2 | Genome Biology

Figure 2

From: A new non-linear normalization method for reducing variability in DNA microarray experiments

Figure 2

Signal distributions before and after normalization. Density estimates for the six oligonucleotide arrays of the HIV study (top row) and six cDNA arrays of the glnA study (bottom row): before normalization (left column), after lowess normalization (middle column), and after qspline normalization (right column). Scaled print-tip versions of lowess and qspline are shown for the glnA experiment and global lowess and qspline are shown for the HIV experiment. Control samples are shown in green and treatment samples (HIV-infected cells and glnA mutants) in red, along with the geometric means distribution in black for the six HIV arrays and the six Cy3 signals from glnA arrays. Signal distributions were calculated by Gaussian kernel density estimation.

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