VizDimLoadings {Seurat} | R Documentation |
Visualize Dimensional Reduction genes
Description
Visualize top genes associated with reduction components
Usage
VizDimLoadings(
object,
dims = 1:5,
nfeatures = 30,
col = "blue",
reduction = "pca",
projected = FALSE,
balanced = FALSE,
ncol = NULL,
combine = TRUE
)
Arguments
object |
Seurat object |
dims |
Number of dimensions to display |
nfeatures |
Number of genes to display |
col |
Color of points to use |
reduction |
Reduction technique to visualize results for |
projected |
Use reduction values for full dataset (i.e. projected dimensional reduction values) |
balanced |
Return an equal number of genes with + and - scores. If FALSE (default), returns the top genes ranked by the scores absolute values |
ncol |
Number of columns to display |
combine |
Combine plots into a single |
Value
A patchwork
ggplot object if
combine = TRUE
; otherwise, a list of ggplot objects
Examples
data("pbmc_small")
VizDimLoadings(object = pbmc_small)
[Package Seurat version 5.1.0 Index]