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As in the script 2, here I call all the files with all L-R interactions in each sample.
As before I create a big table with all L-R interaction probabilities for each sample.
I follow running Wilcoxon rank test to identify specific L-R interactions between cell-cell.
Also I calculate the fold change of those interactions therefore I know if the significant interactions are up or down regulated in our conditions.
I code for plotting these results in a big Heatmap. In which I show in y axes the L-R interactions and in X axes the cell-cell interactions. Color determine up or down.
Using all p values (not filtered) I plot a value histogram.
I also compute FDR multiple testing.
And finally I trace back the pathway name of those significant interactions.