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Create a new Experiment subclass - CorrelationExperiment()
This adds support for another data matrix (the p- or q-values associated with each data entry).
When plotting, can indicate the significant (i.e. p/q-value < threshold) entries using an "x" ,marker or using a second colormap
Can also create a correlation experiment by calculating correlations between DataFrames (for example when examining correlations between experiment metadata fields).
In order to show the p-values in the interactive heatmap clicks, changed the mechanism of showing the abundance when clicking by delegating to the Experiment class.