Graphical technique for identifying a monotonic variance stabilizing transformation for absolute gene intensity signalsReport as inadecuate




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BMC Bioinformatics

, 5:60

First Online: 17 May 2004Received: 19 February 2004Accepted: 17 May 2004

Abstract

BackgroundThe usefulness of log2 transformation for cDNA microarray data has led to its widespread application to Affymetrix data. For Affymetrix data, where absolute intensities are indicative of number of transcripts, there is a systematic relationship between variance and magnitude of measurements. Application of the log2 transformation expands the scale of genes with low intensities while compressing the scale of genes with higher intensities thus reversing the mean by variance relationship. The usefulness of these transformations needs to be examined.

ResultsUsing an Affymetrix GeneChip dataset, problems associated with applying the log2 transformation to absolute intensity data are demonstrated. Use of the spread-versus-level plot to identify an appropriate variance stabilizing transformation is presented. For the data presented, the spread-versus-level plot identified a power transformation that successfully stabilized the variance of probe set summaries.

ConclusionThe spread-versus-level plot is helpful to identify transformations for variance stabilization. This is robust against outliers and avoids assumption of models and maximizations.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2105-5-60 contains supplementary material, which is available to authorized users.

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Author: Kellie J Archer - Catherine I Dumur - Viswanathan Ramakrishnan

Source: https://link.springer.com/







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