Get a graph — GRNPlot • scMEGA

This function will generate a graph to visualize the predicted gene regulatory network

GRNPlot(
  df.grn,
  tfs.use = NULL,
  show.tf.labels = TRUE,
  tfs.timepoint = NULL,
  genes.cluster = NULL,
  genes.use = NULL,
  genes.highlight = NULL,
  cols.highlight = "#984ea3",
  seed = 42,
  plot.importance = TRUE,
  min.importance = 2,
  remove.isolated = FALSE
)

Arguments

df.grn: A data frame representing predicted network
tfs.timepoint: Time points of TFs
genes.cluster: A data frame containing clustering results of genes
genes.highlight: A string list to include gene names for plotting
cols.highlight: Color code for highlighted genes
seed: Random seet
plot.importance: Whether or not plot the scatter plot to visualize importance score of each TF
min.importance: The minimum importance score for showing the TF labels.

Value

A ggplot object