mnetmap: plot combine network of Terms

In guokai8/Enrichr: Functional Enrichment analysis

Description

plot combine network of Terms

Usage

mnetmap(
  df,
  gores = NULL,
  kores = NULL,
  rores = NULL,
  pfres = NULL,
  itres = NULL,
  top = NULL,
  top.display = NULL,
  pvalue.cutoff = 0.05,
  padj.cutoff = NULL,
  visNet = F,
  weightcut = 0.2,
  useTerm = TRUE,
  layout = NULL,
  vertex.label.cex = 0.5,
  gnet = FALSE,
  vertex.node.shape = NULL,
  ...
)

Arguments

df	DGE files (DESeq2 result files) or vector contains gene names
gores	GO Enrichment analsyis result
kores	KEGG Enrichment analsyis result
rores	Reactome Pathway Enrichment analsyis result
pfres	PFAM Enrichment analysis result result
itres	InterPro Enrichment analysis result
top	number of Terms you want to display(defaultthe total number of all Significant number)
pvalue.cutoff	the cut-off P value for selecting significant Terms
padj.cutoff	the cut-off P adjust value for selecting significant Terms
visNet	use VisNetwork method to display network(defaultFALSE)
weightcut	the weight cut value for remove edges
useTerm	use the Term description or not(defalutTRUE)
layout	layout format (defultlayout.fruchterman.reingold)
vertex.label.cex	size of label(default0.5)
vertex.node.shape	vector of shape and names of the vector should be the terms (default 20)
writeCyt	export file for Cyt software
vertex.label.color	color of label(defaultblack)

Author(s)

Kai Guo

guokai8/Enrichr documentation built on May 16, 2020, 10:24 p.m.