addProjection,Vision-method | R Documentation |
By default VISION will run tSNE on the latent space and use this to display the cells in the output report. However, with this method, you may add additional two-dimensional coordinates for inclusion in the output report. This is useful if you have previously run tSNE (or any other visualization method) and wish to integrate the results into VISION.
## S4 method for signature 'Vision' addProjection(object, name, coordinates)
object |
VISION object |
name |
Name of the projection |
coordinates |
numeric matrix or data.frame. Coordinates of each sample in the projection (NUM_SAMPLES x NUM_COMPONENTS) |
VISION object
## Not run: # First create the VISION object vis <- Vision(data = expMat, signatures = sigs) # Load and add an additional visualization my_umap <- read.csv("umap_results.csv") vis <- addProjection(vis, "UMAP", my_umap) # Run analysis vis <- analyze(vis) # View results viewResults(vis) ## End(Not run)
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