Hi Eduardo,
Yes you can to some extent extract the important genes in each perturbation from the mm3.xlsx table. If you look at Figure S2D-F, you'll see a rough relationship between the coefficient values and significance as determined by permutation of the perturbation/cell assignments.
Since the input data is transformed: log2(UMI+1),
2^(coefficient value)-1 can be interpreted roughly as the average change in UMI counts across cells due to the perturbation.
For example a coefficient value of +0.5 would correspond to an increase of 0.4 UMIs/cell for that transcript on average.
You can try +/- 0.1 as a cutoff or 0.2 if you want to be more strict.
If it's easier, I can send you a table of signed log10(qvalues) according to the permutation test?
Does that help?
Atray