Correlation Plot

Another quality assurance measure is to determine correlation between samples. It is expected that samples from the same biological condition will be highly correlated to each other based on gene expression. As expected, correlation plot below shows that normal samples are correlated with one another while not correlated with the tumor samples.

To generate the above correlation plot, click on the "Normalized counts" data node and then "Statitics". From there, choose "Correlation". In the subsequent menu, choose "Similarity matrix" and select "Samples" as the goal is to determine how well the samples correlate with one another. In the next page, under "Calculate for" choose Pearson correlation. This will enable the calculation of how similar the samples are as a result of gene expression.