go_enrich_net: GO enrichment analysis and net plot (None/Exist Reference...

In TOmicsVis: Transcriptome Visualization Process Scheme

GO enrichment analysis and net plot (None/Exist Reference Genome).

Description

GO enrichment analysis and net plot (None/Exist Reference Genome).

Usage

go_enrich_net(
  go_anno,
  degs_list,
  padjust_method = "fdr",
  pvalue_cutoff = 0.05,
  qvalue_cutoff = 0.05,
  category_num = 20,
  net_layout = "circle",
  net_circular = TRUE,
  low_color = "#ff0000aa",
  high_color = "#008800aa"
)

Arguments

go_anno	Dataframe: GO and KEGG annotation of background genes (1st-col: Genes, 2nd-col: biological_process, 3rd-col: cellular_component, 4th-col: molecular_function, 5th-col: kegg_pathway).
degs_list	Dataframe: degs list.
padjust_method	Character: P-value adjust to Q-value. Default: "fdr" (false discovery rate), options: "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none".
pvalue_cutoff	Numeric: P-value cutoff. Recommend: small than 0.05.
qvalue_cutoff	Numeric: Q-value cutoff. Recommend: small than 0.05.
category_num	Numeric: categories number to display. Default: 20, min: 1, max: NULL.
net_layout	Character: network layout. Default: "circle", options: 'star', 'circle', 'gem', 'dh', 'graphopt', 'grid', 'mds', 'randomly', 'fr', 'kk', 'drl' or 'lgl'.
net_circular	Logical: network circular. Default: TRUE, options: TRUE, FALSE.
low_color	Character: low value (p-value or q-value) color (color name or hex value).
high_color	Character: high value (p-value or q-value) color (color name or hex value).

Value

PLot: GO enrichment analysis and net plot (None/Exist Reference Genome).

Author(s)

benben-miao

Examples

# 1. Library TOmicsVis package
library(TOmicsVis)

# 2. Use example dataset
data(gene_go_kegg)
head(gene_go_kegg)

# 3. Default parameters
go_enrich_net(gene_go_kegg[,-5], gene_go_kegg[100:200,1])

TOmicsVis documentation built on Aug. 29, 2023, 1:06 a.m.