Excuse me. May I have a question about divide_and_conquer_pipeline?
This is my code and results.Is this code or result reasonable?
metacell_results = mc.pipeline.divide_and_conquer_pipeline(
... adata,
... # target_metacell_size=40,
... target_metacell_umis=160000,
... random_seed=123456
... )
set unnamed.var[selected_gene]: * -> False
set unnamed.var[rare_gene]: 0 true (0%) out of 36601 bools
set unnamed.var[rare_gene_module]: 36601 int32 elements with all outliers (100%)
set unnamed.obs[cells_rare_gene_module]: 45116 int32 elements with all outliers (100%)
set unnamed.obs[rare_cell]: 0 true (0%) out of 45116 bools
set unnamed.var[selected_gene]: 6159 true (16.83%) out of 36601 bools
set unnamed.obs[metacell]: 45116 int32s
set unnamed.obs[dissolved]: 0 true (0%) out of 45116 bools
set unnamed.obs[metacell_level]: 45116 int32s
Why is it displaying "set unnamed.obs[metacell]: 45116 int32s"?
Is there any manuscript or similar reference available?
Thank you very much for your software. I am really looking forward to hearing back from you.
It means there is a per-cell property saying which metacell each cell belongs to. SInce you have 45K cells the length of this data is 45K entries, each is an int32s.
Excuse me. May I have a question about divide_and_conquer_pipeline? This is my code and results.Is this code or result reasonable?
Why is it displaying "set unnamed.obs[metacell]: 45116 int32s"? Is there any manuscript or similar reference available? Thank you very much for your software. I am really looking forward to hearing back from you.