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Hi Team.
Nice package. I followed the code from the tutorial changing only the seurat object names and the assay names (SCT or integrated). I found that the tool always seems to output 0.5 as the optimal res from the CDI specificity graph and 1.0 res as optimal from the multi-level resolution specificity score graph even when different datasets are used. Also, the R Session crashes when I try to run the multiSilhouette() function. Is there a way to refine the analysis to output the optimal res parameter? Thank you.
The text was updated successfully, but these errors were encountered:
Hi Team.
Nice package. I followed the code from the tutorial changing only the seurat object names and the assay names (SCT or integrated). I found that the tool always seems to output 0.5 as the optimal res from the CDI specificity graph and 1.0 res as optimal from the multi-level resolution specificity score graph even when different datasets are used. Also, the R Session crashes when I try to run the multiSilhouette() function. Is there a way to refine the analysis to output the optimal res parameter? Thank you.
The text was updated successfully, but these errors were encountered: