plot_RGB_UMAP: Visualize RGB plot from UMAP.
In shangll123/SpatialPCA: Spatially Aware Dimension Reduction for Spatial Transcriptomics
View source: R/SpatialPCA_utilties.R
plot_RGB_UMAP R Documentation
Visualize RGB plot from UMAP.
Description
We summarized the inferred low dimensional components into three UMAP. components and visualized the three resulting components with red/green/blue (RGB) colors in the RGB plot.
Usage
plot_RGB_UMAP(location, latent_dat, pointsize = 2, textsize = 15)
Arguments
location
A n by k location matrix. n is spot number.
latent_dat
A d by n matrix of low dimensional components.
pointsize
The point size of each spot.
textsize
The text size in the legend.
Value
A list.
RGB
A data frame with five columns: x coordinate, y coordinate, R, G, and B color index
figure
A ggplot object for RGB plot from UMAP.
shangll123/SpatialPCA documentation built on April 17, 2024, 3:15 a.m.
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View source: R/SpatialPCA_utilties.R
| plot_RGB_UMAP | R Documentation |
Visualize RGB plot from UMAP.
Description
We summarized the inferred low dimensional components into three UMAP. components and visualized the three resulting components with red/green/blue (RGB) colors in the RGB plot.
Usage
plot_RGB_UMAP(location, latent_dat, pointsize = 2, textsize = 15)
Arguments
location |
A n by k location matrix. n is spot number. |
latent_dat |
A d by n matrix of low dimensional components. |
pointsize |
The point size of each spot. |
textsize |
The text size in the legend. |
Value
A list.
RGB |
A data frame with five columns: x coordinate, y coordinate, R, G, and B color index |
figure |
A ggplot object for RGB plot from UMAP. |
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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