Integrate multiple seurat objects and save to file
integration_workflow(
batches,
excluded_cells = NULL,
resolution = seq(0.2, 2, by = 0.2),
experiment_name = "default_experiment",
organism = "human",
...
)
seurat objects for all batches provided as a list. If named, the resulting integrated object will be identified with corresponding values in 'batch' metadata
named list of cells to exclude
value(s) to control the clustering resolution via Seurat::FindMarkers
arbitrary name to identify experiment
either "human" or "mouse"
batches <- panc8 %>%
Seurat::SplitObject(split.by = "tech")
integrated_seu <- integration_workflow(batches)
#> [13:34:50] Logging Technical Details...
#> [13:34:50] Logging Technical Details...
#> Error in map_chr(batches, list("misc", "experiment", "organism")): could not find function "map_chr"