Plot MST pseudotime values on cell 2D embedding — plotTSCANResults • singleCellTK

A wrapper function which visualizes outputs from the runTSCAN function. Plots the pseudotime ordering of the cells and project them onto the MST.

plotTSCANResults(inSCE, useReducedDim = "UMAP")

Arguments

inSCE: Input SingleCellExperiment object.
useReducedDim: Saved dimension reduction name in inSCE object. Required.

Value

A .ggplot object with the pseudotime ordering of the cells colored on a cell 2D embedding, and the MST path drawn on it.

Author

Nida Pervaiz

Examples

data("mouseBrainSubsetSCE", package = "singleCellTK")
mouseBrainSubsetSCE <- runTSCAN(inSCE = mouseBrainSubsetSCE,
                                useReducedDim = "PCA_logcounts")
#> Wed Apr 23 11:40:17 2025 ... Running 'scran SNN clustering' with 'louvain' algorithm
#> Wed Apr 23 11:40:18 2025 ...   Identified 2 clusters
#> Wed Apr 23 11:40:18 2025 ... Running TSCAN to estimate pseudotime
#> Wed Apr 23 11:40:18 2025 ...   Clusters involved in path index 2 are: 1, 2
#> Wed Apr 23 11:40:18 2025 ...   Number of estimated paths is 1
plotTSCANResults(inSCE = mouseBrainSubsetSCE,
                 useReducedDim = "TSNE_logcounts")
#> Scale for colour is already present.
#> Adding another scale for colour, which will replace the existing scale.