Plot correlation heatmap for multiOmicDataSet

Arguments

moo_counts: a multiOmicDataSet object
count_type: the type of counts to use. Must be a name in the counts slot (names(moo@counts)).
sub_count_type: used if count_type is a list in the counts slot: specify the sub count type within the list. Must be a name in names(moo@counts[[count_type]]).
group_colname: The column from the sample metadata containing the sample group information. This is usually a column showing to which experimental treatments each sample belongs (e.g. WildType, Knockout, Tumor, Normal, Before, After, etc.).
color_values: vector of colors as hex values or names recognized by R. Unnamed colors are assigned by factor level order when the grouping column is a factor; otherwise, they are assigned in the order groups first appear in the metadata column. Defaults to NULL; when NULL, mosuite_palette is used for data.frame dispatch and stored colors are used for multiOmicDataSet dispatch.
...: additional arguments forwarded to plot_corr_heatmap() for data.frame