plot_measure_dim: Single cell visualization - gene expression levels
In xmc811/Scillus: Seurat wrapper package enhancing the processing and visualization of single cell data
Description
Usage
Arguments
Value
View source: R/visualization.R
Description
Single cell visualization - gene expression levels
Usage
1
plot_measure_dim(dataset, measures, split_by = NA, point.size = 1)
Arguments
dataset
A Seurat object.
measures
A character vector - the names of genes or measures to be plotted.
split_by
A string - the splitting variable in the metadata.
point.size
A numeric value - the size of points.
Value
A plot.
xmc811/Scillus documentation built on April 26, 2021, 1:41 a.m.
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Description Usage Arguments Value
View source: R/visualization.R
Description
Single cell visualization - gene expression levels
Usage
1 | plot_measure_dim(dataset, measures, split_by = NA, point.size = 1)
|
Arguments
dataset |
A Seurat object. |
measures |
A character vector - the names of genes or measures to be plotted. |
split_by |
A string - the splitting variable in the metadata. |
point.size |
A numeric value - the size of points. |
Value
A plot.
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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