Generating correlation heatmaps between two sample types

I would like to generate a correlation heatmap between metabolites quantified in liver and plasma of the same mice. For the moment, I use one dataset with all the metabolites from the two sample types but the correlation heatmap and table contained all the corelation coef in the two dimensions. It would be more clear to have in columns and in rows only one sample types to analyse how metabolites from one tissue correlate with metabolites of the other tissue. If there is a possibility to perform it with Metaboanalyst it would be very interesting.
Best regards

You are talking about two data tables. One possible tool is OmicsAnalyst which allows you to upload multiple tables and explore their correlations (globally or at feature levels) - through dimensionality reduction, correlation networks or heatmap clustering

Since OmicsAnalyst was designed for multi-omics (transcriptomics, metabolomics), and you are integrating same omics data (from different tissues), you need to do some extra work to trick OmicsAnalyst:

  1. Make sure that sample names are the same (i.e. same subject, mouse, or patient)
  2. Make sure that feature names are different (i.e. glucose-liver, glucose-plasma)

Be creative and let @Guangyan know if you need extra support