Figure 3.

Expression correlation and differential expression of genes in the PLK1-MCM complex-SKP2 subnets.A, In NGP-ND, PPIs are weighted by the absolute average of Spearman coefficient of interacting genes’ expression in ER positive and ER negative samples. The weights of all the PPIs in the PLK1-MCM complex-SKP2 subnet of breast cancer patient datasets are displayed. B, In NGP-NR, PPIs are weighted by the absolute difference of Spearman coefficient of interacting genes’ expression in lung cancer and normal samples. The weights of all the PPIs in the PLK1-MCM complex-SKP2 subnet of NSCLC patient datasets are displayed. C, The differential expression of genes in the PLK1-MCM complex-SKP2 subnet of breast cancer patient datasets is displayed by –log(p), where p is estimated by t test. Genes that are up regulated and down regulated in ER negative samples are displayed in upper and lower right quadrant, respectively. D, The differential expression of genes in the PLK1-MCM complex-SKP2 subnet of NSCLC patient datasets is displayed by –log (p). Genes that are up regulated and down regulated in lung cancer samples are displayed in upper and lower right quadrant, respectively.

Wu et al. BMC Bioinformatics 2012 13:182   doi:10.1186/1471-2105-13-182
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