sccomp

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significant associations of output and boxplot?

3

Hi, After I used： res = seu |> sccomp_estimate(formula_composition = ~ type, .sample = sample, .cell_group = cell_group, bimodal_mean_variability_association = TRUE) |> sccomp_test() the result for res is as follows:...

pandaqiuqiu

cleanup for Stan draw files

1

- Introduced `cleanup_draw_files` parameter in `sccomp_estimate()` and `sccomp_remove_outliers()` to automatically delete large Stan draw CSV files after analysis, reducing disk space usage. - Added new `clear_draw_files()` function for manual cleanup...

stemangiola

@gaoyingnan-academic please note https://support.bioconductor.org/p/p134006/#9162808 This could be a good use case for our new sccomp major extension.

stemangiola

Lejing PR differential variability

1

lel4011

… layers, improving flexibility for users. - Updated vignettes to reflect changes in function usage and added examples for custom ggplot layers.

stemangiola

error in Error in `process_initialize'

11

I am getting the following error when running sccomp on a seurat object (I need to mention that this was working just fine before Sep 2025 so I believe it...

ruxandratonea12

Dplyr error "The LHS of `:=` must be a string, not a character vector." while executing sccomp_proportional_fold_change

6

I am succesfully running sccomp on my SCE object. My condition of interest is the column "diagnosis_CK" which has 4 levels. ```R sccomp_result sccomp_estimate( formula_composition = ~ Donor_Sex + Sample_Prep...

pakiessling