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. 2010 Mar 26;5(3):e9905. doi: 10.1371/journal.pone.0009905

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This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.

This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.

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Comparison of SWISS scores of three different normalization techniques for the single channel of dataset II. The number of genes was varied, as shown by the x-axis. Genes were filtered for each normalization method based on gene variation, keeping the genes with the largest variation. The normalization techniques being compared are loess (solid blue), quantile (dashed green), and no normalization (dot-dashed red). This shows that for each fixed number of genes, quantile and loess normalization are both superior to no normalization, and that loess normalization performs slightly better than quantile normalization.