plot_network: make a network plot of a set of co-expressed features

In CBMR-Single-Cell-Omics-Platform/SCOPfunctions: Single Cell Omics Platform Functions

Description

make a network plot of a set of co-expressed features

Usage

plot_network(
  mat_datExpr,
  vec_geneImportance,
  vec_genes_highlight = c(),
  n_max_genes = 50,
  igraph_algorithm = "drl",
  fontface_labels = "bold.italic",
  color_edge = "grey70",
  edge_thickness = 1
)

Arguments

mat_datExpr	gene * sample expression matrix
vec_geneImportance	vector of weights with corresponding features as names
vec_genes_highlight	optional vector of genes to highlight
n_max_genes	max number of genes to include, in order of weight
igraph_algorithm	passed as the algorithm argument to ggraph()
fontface_labels	one of 'normal', 'bold', 'italic', 'bold italic'
color_edge	color for network edges, character
edge_thickness	controls edge thickness, which varies by co-expression

CBMR-Single-Cell-Omics-Platform/SCOPfunctions documentation built on May 29, 2021, 3:52 p.m.