Smooths expression values across the k-nearest neighbors based on dimensional reduction
AddSmoothedScore(object, genes.fit = NULL, dim.1 = 1, dim.2 = 2,
reduction.use = "tSNE", k = 30, do.log = FALSE, do.print = FALSE)
Seurat object
Genes to calculate smoothed values for
Dimension for x-axis (default 1)
Dimension for y-axis (default 2)
Which dimensionality reduction to use. Default is "tsne", can also be "pca", or "ica", assuming these are precomputed.
k-param for k-nearest neighbor calculation
Whether to perform smoothing in log space. Default is false.
Print progress (output the name of each gene after it has been imputed).