Provides visualisation of the graph.

`vis_graph` Provides visualisation of the graph.

vis_graph(
  input_graph,
  Competing_color = "green",
  mirna_color = "orange",
  Upregulation = "red",
  Downregulation = "blue",
  title = "GRAPH",
  layout = "kk"
)

Arguments

input_graph	The graph object.
Competing_color	The color of competing elements on the graph with 'green' default.
mirna_color	The color of miRNAs on the graph with 'orange' default.
Upregulation	The color of Upregulated elements on the graph with 'red' default.
Downregulation	The color of Downregulated elements on the graph with 'blue' default.
title	Title of the given graph.
layout	The layout that will be used for visualisation of the graph.

Value

The graph object.

Details

vis_graph ensures the process to be followed.

Examples

data('minsamp')
data('new_counts')

# Visualisation of graph in steady-state.

 priming_graph(minsamp, Competing_expression, miRNA_expression,
    aff_factor = c(seed_type,energy), deg_factor = region)%>%
   vis_graph()
#> Warning: Kamada-Kawai (kk) layout was used.
#> Warning: First column is processed as competing and the second as miRNA.

# Visualisation of graph after the change.

 priming_graph(minsamp, Competing_expression, miRNA_expression,
    aff_factor = c(seed_type,energy), deg_factor = region)%>%
   update_variables(new_counts)%>%
   vis_graph()
#> Warning: Kamada-Kawai (kk) layout was used.
#> Warning: First column is processed as competing and the second as miRNA.