SampleEdgeNew | R Documentation |
Generate child CIF based on parent CIF
SampleEdgeNew( edge, depth, anc_state, edges, sif_mean = NULL, S = NULL, cif = NULL, mu = 0.1, p_d = 0, barcode = NULL, flag = 0, N_ms = NULL, unif_on = FALSE, lambda = NULL )
edge |
current edge on the cell lineage tree |
depth |
current depth of the parent node |
anc_state |
Cell Identity Factor value of the parent node |
edges |
edge list of the cell lineage tree |
sif_mean |
state identity factor values |
S |
state and state identity factor of the parent |
cif |
cell identity factor matrix |
mu |
mutation rate |
p_d |
whether or not to have dropouts |
barcode |
current barcode of the parent node |
flag |
whether or not generate barcode along with gene expressions |
N_ms |
Number of possible mutated states |
unif_on |
if unif_on is TRUE, the mutated states will be synthetically generated using uniform distribution; otherwise, it will be sampled from a real dataset |
lambda |
a num vector that indicates the value of lambda that weights the additional random walk value for different depths |
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