Description Usage Arguments Details Value Examples
given a data frame of edges, find nodes within so many edges of initial nodes with option that final set of edges go to known nodes
1 2 | find_edges(in_graph, start_nodes, n_hop = 1, end_nodes = NULL,
drop_same_after_2 = TRUE)
|
in_graph |
a graphBAM graph |
start_nodes |
which nodes to start from |
n_hop |
how many hops to go out (default is 1) |
end_nodes |
optional, only keep edges that end at these nodes |
drop_same_after_2 |
should edges that only go to a single other node be dropped? Default is TRUE. See DETAILS for more information. |
One frequently encountered case will be a set of nodes that do:
N1 –> N2 –> N1 (because the network is assumed to be undirected), where
after a single hop from N1 we reach N2, and then a second hop returns to N1.
Even in the case where the end_nodes are the same as the start_nodes, this
is likely not useful information. So drop_same_after_1 = TRUE
will set the results so that these edge paths are not returned and kept
in the final graph.
list
1 2 3 4 5 6 7 8 9 10 11 12 | library(STRINGDatabaseManipulation)
library(graph)
set.seed(1234)
link_data <- STRING10_links
link_data <- link_data[sample(nrow(link_data), 10000),]
link_graph <- string_2_graphBAM(link_data)
start_nodes <- sample(nodes(link_graph), 10)
end_nodes <- NULL
n_hop <- 3
find_edges(link_graph, start_nodes, n_hop)
find_edges(link_graph, start_nodes, n_hop, end_nodes, drop_same_after_2 = FALSE)
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