Finds the limit cutoff when target and sentinal paths are given — path_obj

Using all paths from an igraph path trace this will filter all the paths in the trace by the lim argument. Implementation deploys path_filter() in parallel over the number of cores specified by the cores argument.

path_obj_filter(path_obj, vertices, lim, path_name, weights, cores = 1)

Arguments

path_obj	pathtrace object from short_paths()
vertices	the vertices vector from find_limit
lim	the filter limit value
path_name	the name of the path for message (target or sentinal)
weights	the gene OMICS scores or score metric by verex to weight paths
cores	the cores to run the path calulation over. default = 1

Value

list of vertex names from paths that path the filter limit

Examples

example_path <- list()
example_path$res <- list(
   c('319', "49", "23", "86", "690", "238"),
   c('422', "899", "37", "240", "970", "28")
)
names(example_path$res[[1]]) <- c(
   "GeneA","GeneZ", "GeneAlpha",
   "GeneB", "GeneX", "GeneOmega"
)
names(example_path$res[[2]]) <- c(
   "Gene1","Gene2", "GeneUno",
   "Gene12", "Gene13", "GeneOcho"
)

sampweights <- c(1.45, 2.45, 0.89, .003, 1.3, 2.1, 0.02, 0, 0, 0.2, 0.6, .70)
names(sampweights) <- c(
   "GeneA","GeneZ", "GeneAlpha",
   "GeneB", "GeneX", "GeneOmega",
   "Gene1","Gene2", "GeneUno",
   "Gene12", "Gene13", "GeneOcho"
)
path_obj_filter(
   path_obj = example_path,
   path_name =  "test",
   vertices = c(0,0,0),
   weights = sampweights,
   lim = 1,
   cores = 2
)
#> 1 test paths out of 2 ( 50% ) kept
#> 4 of 8 test genes ( 50% ) filtered out
#> [1] "GeneZ"     "GeneAlpha" "GeneB"     "GeneX"