Selection analysis based on each leaves as foreground with FastCodeML
I have to test the selection for each leaves in a phylogenetic tree. In normal case(with codeml), I will be running model zero for all leaves and then model 2 for each leaves as foreground (marking leaves as #1 in phylogenetic tree), then calculate LRT.
My concern is there any way to run FastCodeML for each leaves as foreground instead of the branch?
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