13_TestTargetGenes.py

[mabaoweireadingene]

‘’‘’
allVars = pd.Series(KOGenes[setIndex_1:setIndex_2])
all_columns = "+".join(allVars[allVars.isin(["leiden"])])
all_columns = all_columns + "+n_genes+mt_frac"
my_formula = "y" + all_columns + " + (1 | leiden)"
‘’‘’
I have a question about this piece of code. Could you please clarify?
Why adding n_genes and mt_frac when evaluating the CRISPR knockout effect for accounting for their influence.

Thanks
Best!