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I have not been able to successfully implement a cut-off threshold while calling Scissor.
For example, if alpha = 0.05 leads to 40% of cells being selected by Scissor and I want to decrease the proportion of Scissor-selected cells
cutoff_threshold = 0.2 alpha_threshold = 0.05
info <- Scissor(bulk_dataset = duod_counts, sc_dataset = seur_duod, phenotype = phenotype, alpha = alpha_threshold, cutoff = cutoff_threshold, tag = tag, family = "gaussian", Save_file = paste0('sbatch_outputs/grid_search/', date, alpha_threshold, "_", cutoff_threshold, protein, '.RData'))
The number and identity of cells selected is exactly the same as that chosen without the inclusion of the cutoff parameter.
The text was updated successfully, but these errors were encountered:
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I have not been able to successfully implement a cut-off threshold while calling Scissor.
For example, if alpha = 0.05 leads to 40% of cells being selected by Scissor and I want to decrease the proportion of Scissor-selected cells
cutoff_threshold = 0.2
alpha_threshold = 0.05
info <- Scissor(bulk_dataset = duod_counts,
sc_dataset = seur_duod,
phenotype = phenotype,
alpha = alpha_threshold,
cutoff = cutoff_threshold,
tag = tag,
family = "gaussian",
Save_file = paste0('sbatch_outputs/grid_search/', date, alpha_threshold, "_", cutoff_threshold, protein, '.RData'))
The number and identity of cells selected is exactly the same as that chosen without the inclusion of the cutoff parameter.
The text was updated successfully, but these errors were encountered: