Lineage Plot

Generate a lineage plot based on the pseudotime.

Usage

LineagePlot(
  srt,
  lineages,
  reduction = NULL,
  dims = c(1, 2),
  cells = NULL,
  trim = c(0.01, 0.99),
  span = 0.75,
  palette = "Dark2",
  palcolor = NULL,
  lineages_arrow = grid::arrow(length = grid::unit(0.1, "inches")),
  linewidth = 1,
  line_bg = "white",
  line_bg_stroke = 0.5,
  whiskers = FALSE,
  whiskers_linewidth = 0.5,
  whiskers_alpha = 0.5,
  aspect.ratio = 1,
  title = NULL,
  subtitle = NULL,
  xlab = NULL,
  ylab = NULL,
  legend.position = "right",
  legend.direction = "vertical",
  theme_use = "theme_scop",
  theme_args = list(),
  return_layer = FALSE,
  seed = 11,
  verbose = TRUE
)

Arguments

srt: A Seurat object.
lineages: A character vector that specifies the lineages to be included. Typically, use the pseudotime of cells.
reduction: Reduction to plot. NULL uses DefaultReduction.
dims: Length-2 vector of dimensions to plot.
cells: Cell names to include.
trim: A numeric vector of length 2 specifying the quantile range of lineages to include in the plot.
span: The span of the loess smoother.
palette: Color palette name. Available palettes can be found in thisplot::show_palettes.
palcolor: Custom colors used to create a color palette.
lineages_arrow: An arrow object specifying the arrow for lineages.
linewidth: The linewidth for the lineages.
line_bg: Color for the background lines.
line_bg_stroke: The stroke width for the background lines.
whiskers: Whether to include whiskers in the plot.
whiskers_linewidth: The linewidth for the whiskers.
whiskers_alpha: The transparency for the whiskers.
aspect.ratio: Panel aspect ratio.
title, subtitle, xlab, ylab: Plot labels.
legend.position: Legend position passed to theme().
legend.direction: Legend direction passed to theme().
theme_use, theme_args: Theme name or function, plus extra theme arguments.
return_layer: Whether to return the plot layers as a list. Defaults is FALSE.
seed: Random seed.
verbose: Whether to print messages.

Examples

data(pancreas_sub)
pancreas_sub <- RunStandardWorkflow(pancreas_sub)
#> ℹ [2026-08-30 04:33:58] Start standard processing workflow...
#> ℹ [2026-08-30 04:33:58] Checking a list of <Seurat>...
#> ! [2026-08-30 04:33:58] Data 1/1 of the `srt_list` is "unknown"
#> Warning: Data 1/1 of the `srt_list` is "unknown"
#> ℹ [2026-08-30 04:33:58] Perform `NormalizeData()` with `normalization.method = 'LogNormalize'` on 1/1 of `srt_list`...
#> ℹ [2026-08-30 04:33:58] Perform `FindVariableFeatures()` on 1/1 of `srt_list`...
#> ℹ [2026-08-30 04:33:58] Use the separate HVF from `srt_list`
#> ℹ [2026-08-30 04:33:58] Number of available HVF: 2000
#> ℹ [2026-08-30 04:33:58] Finished check
#> ℹ [2026-08-30 04:33:58] Perform `ScaleData()`
#> ℹ [2026-08-30 04:33:58] Perform pca linear dimension reduction
#> ℹ [2026-08-30 04:33:58] Use stored estimated dimensions 1:23 for Standardpca
#> ℹ [2026-08-30 04:33:59] Perform `Seurat::FindClusters()` with `cluster_algorithm = 'louvain'` and `cluster_resolution = 0.6`
#> ℹ [2026-08-30 04:33:59] Reorder clusters...
#> ℹ [2026-08-30 04:33:59] Skip `log1p()` because `layer = data` is not "counts"
#> ℹ [2026-08-30 04:33:59] Perform umap nonlinear dimension reduction
#> ✔ [2026-08-30 04:34:06] Standard processing workflow completed
pancreas_sub <- RunSlingshot(
  pancreas_sub,
  group.by = "SubCellType",
  reduction = "UMAP",
  show_plot = FALSE
)
LineagePlot(
  pancreas_sub,
  lineages = paste0("Lineage", 1:2)
)

LineagePlot(
  pancreas_sub,
  lineages = paste0("Lineage", 1:2),
  whiskers = TRUE
)

Usage

Arguments

See also

Examples