Using cancer proteomics data to identify gene candidates for therapeutic targeting.

With 544 compounds considered, we might expect about five and less than one to have nominally significant p -values of <0.01 and <0.001, respectively, due to multiple testing [ 44 ].

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Genes significantly correlated with tumor grade at the protein level may not be significant at the mRNA level and vice versa, which warrants our integrative approach to incorporating both levels of data.

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