Reorder idents by the gene expression
Usage
srt_reorder(
srt,
features = NULL,
reorder_by = NULL,
layer = "data",
assay = NULL,
log = TRUE,
distance_metric = "euclidean",
verbose = TRUE
)Arguments
- srt
A
Seuratobject.- features
Features to plot: a character vector or a named list of assay gene names or numeric metadata columns.
- reorder_by
Reorder groups instead of idents.
- layer
Assay layer to use.
- assay
Assay to use.
NULLuses the default assay.- log
Whether log1p transformation needs to be applied.
- distance_metric
Metric to compute distance.
- verbose
Whether to print the message. Default is
TRUE.
Examples
data(pancreas_sub)
pancreas_sub <- RunStandardWorkflow(pancreas_sub)
#> ℹ [2026-08-30 05:58:54] Start standard processing workflow...
#> ℹ [2026-08-30 05:58:54] Checking a list of <Seurat>...
#> ! [2026-08-30 05:58:54] Data 1/1 of the `srt_list` is "unknown"
#> Warning: Data 1/1 of the `srt_list` is "unknown"
#> ℹ [2026-08-30 05:58:54] Perform `NormalizeData()` with `normalization.method = 'LogNormalize'` on 1/1 of `srt_list`...
#> ℹ [2026-08-30 05:58:54] Perform `FindVariableFeatures()` on 1/1 of `srt_list`...
#> ℹ [2026-08-30 05:58:54] Use the separate HVF from `srt_list`
#> ℹ [2026-08-30 05:58:54] Number of available HVF: 2000
#> ℹ [2026-08-30 05:58:55] Finished check
#> ℹ [2026-08-30 05:58:55] Perform `ScaleData()`
#> ℹ [2026-08-30 05:58:55] Perform pca linear dimension reduction
#> ℹ [2026-08-30 05:58:55] Use stored estimated dimensions 1:23 for Standardpca
#> ℹ [2026-08-30 05:58:55] Perform `Seurat::FindClusters()` with `cluster_algorithm = 'louvain'` and `cluster_resolution = 0.6`
#> ℹ [2026-08-30 05:58:55] Reorder clusters...
#> ℹ [2026-08-30 05:58:55] Skip `log1p()` because `layer = data` is not "counts"
#> ℹ [2026-08-30 05:58:55] Perform umap nonlinear dimension reduction
#> ✔ [2026-08-30 05:59:05] Standard processing workflow completed
pancreas_sub <- srt_reorder(
pancreas_sub,
reorder_by = "SubCellType",
layer = "data"
)
#> ℹ [2026-08-30 05:59:05] Skip `log1p()` because `layer = data` is not "counts"