Figure 6.

GO networks: testing the 'boosting' ability of the algorithm. An experiment was carried out to assess how well the algorithm is able to increase the relative ranking of a gene based on its connections to other highly changed genes. The top 200 most changed genes are set in turn to have a differential expression of 0. If the ranking were based on pure differential expression only, each gene would appear at the bottom of the list. By PageRanking, we raise the position of the gene closer to its original ranking. The same effect is not observed when a random 200 genes are chosen. The majority of these genes will not have connections to other highly changed genes. The blue line represents the original expression ranked position, the red circles show the original GeneRanked position and the blue asterisks show the modified GeneRanked position.

Morrison et al. BMC Bioinformatics 2005 6:233   doi:10.1186/1471-2105-6-233
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