"Needs review" removed

docs/episodes/9.2.md

@@ -168,7 +168,6 @@ First, we need to define a simple table with information about our samples - we
 
     - Now we can do the DA test, explicitly defining our experimental design. In this case as discussed we will test the difference between sample groups. The testNhoods function calculates a Fold-change and corrected P-value for each neighbourhood, which indicates whether there is significant differential abundance between sample groups.
 
-    !!! warning "Following needs a review as `da_results <- testNhoods...` takes ~10 minutes. data frame `da_results` was exported as a csv to `/nesi/project/nesi02659/sc-rna/R_objects/da_results.csv` " 
 
     ```r
     # run DA test