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Figure 3 | BMC Bioinformatics

Figure 3

From: Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional normalization method

Figure 3

Curve-fit normalization of affine transformed data. Curve-fit normalization of A 1 MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbwvMCKfMBHbqedmvETj2BSbWenfgDOvwBHrxAJfwnHbqeg0uy0HwzTfgDPnwy1aqee0evGueE0jxyaibaieYdOi=BH8vipeYdI8qiW7rqqrFfpeea0xe9Lq=Jc9vqaqpepm0xbbG8FasPYRqj0=yi0lXdbba9pGe9qqFf0dXdHuk9fr=xfr=xfrpiWZqaaeaabiGaaiaacaqabeaadaqacqaaaOqaaGWaaiab=bq8bnaaBaaaleaatCvAUfKttLearCWrP9MDH5MBPbIqV92AaGqbaiab+fdaXaqabaaaaa@43C0@ transformed data. Left: Log-ratios as a function of log-intensities for different fold changes. Note that the distance between up- and down-regulated genes at any intensity is the same before and after the normalization. Right: Normalized log-ratios versus true log-ratios. We see that intensity-dependent artifacts have been removed for the observed and true log-ratios where all curves intersect (here at (0, 0)).

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BMC Bioinformatics

ISSN: 1471-2105

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