Visualize and annotate single cell data

lc_vis(cells, counts, pc_space, embedding, nn, k = 50)

Arguments

cells

data.frame, containing cell metadata

counts

sparse matrix, containing counts (cols = cells, genes = rows)

pc_space

matrix, containing PCA coordinates (cols = coordiantes, rows = cells)

embedding

matrix, containing coordinates for two-dimensional embedding (cols = coordiantes, rows = cells)

nn

list, containing nearest neighbor information (created by run_nn function)

k

numeric, number of neighbors considered for smoothing (default k = 50)