Evaluating computational approaches for comparison of protein expression across cancer indications

<p>########################################################################################################<br># CPTAC PAN cancer imputed and normalized data&nbsp;<br>########################################################################################################<br># R Code snippet<br>iBAQ = readRDS("/your path/iBAQ.rds")<br>table(iBAQ$normalized)<br># CN&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; No QN&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;QN&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;riBAQ&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Smooth QN&nbsp;<br># 17435640 &nbsp;17435640&nbsp; &nbsp;17435640&nbsp; &nbsp;17435640&nbsp; &nbsp; &nbsp;17435640&nbsp;<br>library(dplyr)<br>full.qn &lt;- iBAQ %&gt;% filter(normalized=="QN")<br>OV &lt;- full.qn %&gt;% filter(Indication=="OV")%&gt;% filter(Tissue=="Tumor")<br>OV_4genes &lt;- OV[OV$Gene%in% c("CDH6", "FOLR1", "ERBB2", "TACSTD2"),]</p>