make_adjmatrix {graphsim} | R Documentation |
Generate Adjacency Matrix
Description
Compute the adjacency matrix of a (directed) igraph
structure, preserving node/column/row names (and direction).
Usage
make_adjmatrix_graph(graph, directed = FALSE)
Arguments
graph |
An |
directed |
logical. Whether directed information is passed to the adjacency matrix. |
Value
An adjacency matrix compatible with generating an expression matrix
Author(s)
Tom Kelly tom.kelly@riken.jp
See Also
See also generate_expression
for computing the simulated data,
make_sigma
for computing the Sigma (\Sigma
) matrix,
make_distance
for computing distance from a graph object,
make_state
for resolving inhibiting states.
See also plot_directed
for plotting graphs or
heatmap.2
for plotting matrices.
See also make_laplacian
or make_commonlink
for computing input matrices.
See also igraph
for handling graph objects.
Other graphsim functions:
generate_expression()
,
make_commonlink
,
make_distance
,
make_laplacian
,
make_sigma
,
make_state
,
plot_directed()
Other graph conversion functions:
make_commonlink
,
make_laplacian
Examples
# construct a synthetic graph module
library("igraph")
graph_test_edges <- rbind(c("A", "B"), c("B", "C"), c("B", "D"))
graph_test <- graph.edgelist(graph_test_edges, directed = TRUE)
# compute adjacency matrix for toy example
adjacency_matrix <- make_adjmatrix_graph(graph_test)
adjacency_matrix
# construct a synthetic graph network
graph_structure_edges <- rbind(c("A", "C"), c("B", "C"), c("C", "D"), c("D", "E"),
c("D", "F"), c("F", "G"), c("F", "I"), c("H", "I"))
graph_structure <- graph.edgelist(graph_structure_edges, directed = TRUE)
# compute adjacency matrix for toy network
graph_structure_adjacency_matrix <- make_adjmatrix_graph(graph_structure)
graph_structure_adjacency_matrix
# import graph from package for reactome pathway
# TGF-\eqn{\Beta} receptor signaling activates SMADs (R-HSA-2173789)
TGFBeta_Smad_graph <- identity(TGFBeta_Smad_graph)
# compute adjacency matrix for TGF-\eqn{\Beta} receptor signaling activates SMADs
TGFBeta_Smad_adjacency_matrix <- make_adjmatrix_graph(TGFBeta_Smad_graph)
dim(TGFBeta_Smad_adjacency_matrix)
TGFBeta_Smad_adjacency_matrix[1:12, 1:12]