IFeaturePlot: Visualize features in dimensional reduction space...
In ibseq/scs-analysis: Tools for Single Cell Genomics
Description
Usage
Arguments
Value
View source: R/visualization.R
Description
Visualize features in dimensional reduction space interactively
Usage
1
IFeaturePlot(object, feature, dims = c(1, 2), reduction = NULL, slot = "data")
Arguments
object
Seurat object
feature
Feature to plot
dims
Dimensions to plot, must be a two-length numeric vector specifying x- and y-dimensions
reduction
Which dimensionality reduction to use. If not specified, first searches for umap, then tsne, then pca
slot
Which slot to pull expression data from?
Value
Returns the final plot as a ggplot object
ibseq/scs-analysis documentation built on Feb. 27, 2021, 12:35 a.m.
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Description Usage Arguments Value
View source: R/visualization.R
Description
Visualize features in dimensional reduction space interactively
Usage
1 | IFeaturePlot(object, feature, dims = c(1, 2), reduction = NULL, slot = "data")
|
Arguments
object |
Seurat object |
feature |
Feature to plot |
dims |
Dimensions to plot, must be a two-length numeric vector specifying x- and y-dimensions |
reduction |
Which dimensionality reduction to use. If not specified, first searches for umap, then tsne, then pca |
slot |
Which slot to pull expression data from? |
Value
Returns the final plot as a ggplot object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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