GRNPlot: Get a graph

In CostaLab/scMEGA: Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference

Get a graph

Description

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

Usage

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

CostaLab/scMEGA documentation built on Sept. 25, 2024, 6:11 a.m.