smooth_count_matrix {sccore} | R Documentation |
Smooth gene expression, used primarily within conos::correctGenes. Used to smooth gene expression values in order to better represent the graph structure. Use diffusion of expression on graph with the equation dv = exp(-a * (v + b))
Description
Smooth gene expression, used primarily within conos::correctGenes. Used to smooth gene expression values in order to better represent the graph structure. Use diffusion of expression on graph with the equation dv = exp(-a * (v + b))
Usage
smooth_count_matrix(
edge_verts,
edge_weights,
count_matrix,
is_label_fixed,
max_n_iters = 10L,
diffusion_fading = 1,
diffusion_fading_const = 0.1,
tol = 0.001,
verbose = TRUE,
normalize = FALSE
)
Arguments
edge_verts |
edge vertices of igraph graph object |
edge_weights |
edge weights of igraph graph object |
count_matrix |
gene count matrix |
is_label_fixed |
boolean Whether label is fixed |
max_n_iters |
integer Maximal number of iterations (default=10) |
diffusion_fading |
numeric Constant used for diffusion on the graph, exp(-diffusion.fading * (edge_length + diffusion.fading.const)) (default=1.0) |
diffusion_fading_const |
numeric Another constant used for diffusion on the graph, exp(-diffusion.fading * (edge_length + diffusion.fading.const)) (default=0.1) |
tol |
numeric Absolute tolerance as a stopping criteria (default=1e-3) |
verbose |
boolean Verbose mode (default=TRUE) |
normalize |
boolean Whether to normalize values (default=FALSE) |
Value
matrix from input graph, with labels propagated