DPT(dm, tips = random_root(dm), ..., w_width = 0.1)
DiffusionMap
object. Its transition probabilities will be used to calculate the DPTDPT
object:branch
matrix
(of integer
) recursive branch labels for each cell (row); NA
for undeceided. Use branch_divide
to modify this.tips
matrix
(of logical
) indicating if a cell (row) is a tip of the corresponding banch level (col)dm
DiffusionMap
used to create this DPT object[ dim nrow ncol
as.matrix
), and as a list of pseudodime, and expression vectors ($ [[ names
as.data.frame
).data(guo_norm)
dm <- DiffusionMap(guo_norm)
dpt <- DPT(dm, branching = TRUE)
str(dpt)
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