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clusterProfiler-diagram.R
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clusterProfiler-diagram.R
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library("DiagrammeR")
grViz("digraph course {
rankdir = LR
node [shape = box, style=filled, fontsize=25]
layout = dot
compound =true
#color = crimson
subgraph clusterA{
fontsize = 30
label = 'ChIPseeker'
style = dashed
rank = same
roi [label = 'Region of interest']
gene2 [label = 'Gene in proximity']
}
subgraph clusterB{
fontsize = 30
rankdir = LR
label = 'Over Representation Analysis'
style = dashed
rank = same
subgraph cluster0 {
label = 'clusterProfiler'
enrichGO
enrichKEGG
enrichMKEGG
enricher [label = 'enricher\nfor MSigDb, wikiPathway\nand many others']
}
subgraph cluster1 {
label = 'DOSE'
enrichDO
enrichNCG
enrichDGN
}
subgraph cluster2 {
label = 'ReactomePA'
enrichPathway
}
subgraph cluster3 {
label = 'meshes'
enrichMeSH
}
}
subgraph clusterC{
fontsize = 30
label = 'Gene Set Enrichment Analysis'
style = dashed
rank = same
subgraph cluster0 {
label = 'clusterProfiler'
gseGO
gseKEGG
gseMKEGG
GSEA [label = 'GSEA\nfor MSigDb, wikiPathway\nand many others']
}
subgraph cluster1 {
label = 'DOSE'
gseDO
gseNCG
gseDGN
}
subgraph cluster2 {
label = 'ReactomePA'
gsePathway
}
subgraph cluster3 {
label = 'meshes'
gseMeSH
}
}
subgraph clusterD{
fontsize = 30
label = 'Visualization using enrichplot'
style = dashed
rank = same
subgraph cluster1 {
label = 'ORA only'
barplot
goplot
}
subgraph cluster2 {
label = 'ORA & GSEA'
dotplot
upsetplot
heatplot
cnetplot
emapplot
}
subgraph cluster3 {
label = 'GSEA only'
gseaplot
gseaplot2
gsearank
ridgeplot
}
}
subgraph clusterE{
fontsize = 30
label = 'Remove redundant terms'
style = dashed
rank = same
simplify [label = 'simplify for GO only\nby GOSemSim']
}
subgraph clusterF{
fontsize = 30
label = 'Compare different conditions'
style = dashed
rank = same
comparecluster [label = 'compareCluster\nby clusterProfiler']
}
subgraph clusterG{
fontsize = 30
label = 'Measuring semantic Similarites'
style = dashed
rank = same
gosemsim [label = 'based on Gene Ontology by GOSemSim']
dosim [label = 'based on Disease Ontology by DOSE']
meshsim [label = 'based on Medical Subject Headings by meshes']
}
rnaseq [label = 'RNA-seq']
gene [label = 'Gene of interest\ne.g. from pull-down']
genelist [label='Ranked gene list']
de [label = 'Differential expressed gene']
roi->gene2
#ora [label = 'Over Representation Analysis']
#gsea [label = 'Gene Set Enrichment Analysis']
microarray -> de
rnaseq -> de
microarray -> genelist #gseKEGG[lhead=clusterC]
rnaseq -> genelist
de -> enrichKEGG[lhead=clusterB]
gene -> enrichKEGG[lhead=clusterB]
gene2 -> enrichKEGG[lhead=clusterB]
enrichKEGG -> enrichNCG [style = invis]
enrichPathway -> enrichMeSH [style = invis]
gseKEGG -> gseNCG [style = invis]
gsePathway -> gseMeSH [style = invis]
genelist -> gseMKEGG [lhead=clusterC]
others [label = 'Other sources']
others -> genelist
enrichDGN -> barplot [ltail=clusterB]
enrichDGN -> dotplot [ltail=clusterB]
enrichDGN -> upsetplot [ltail=clusterB]
enrichDGN -> heatplot [ltail=clusterB]
enrichDGN -> cnetplot [ltail=clusterB]
enrichDGN -> emapplot [ltail=clusterB]
enrichGO -> goplot
gseDGN -> ridgeplot [ltail=clusterC]
gseDGN -> dotplot [ltail=clusterC]
gseDGN -> upsetplot [ltail=clusterC]
gseDGN -> heatplot [ltail=clusterC]
gseDGN -> cnetplot [ltail=clusterC]
gseDGN -> emapplot [ltail=clusterC]
gseDGN -> gseaplot [ltail=clusterC]
gseDGN -> gseaplot2 [ltail=clusterC]
gseDGN -> gsearank [ltail=clusterC]
comparecluster -> dotplot
comparecluster -> cnetplot
comparecluster -> emapplot
enrichGO -> simplify
gseGO -> simplify
enrichDO -> comparecluster [lhead=clusterF, ltail=clusterB]
#enrichNCG -> comparecluster
#enrichDGN -> comparecluster
#enrichGO -> comparecluster
#enrichKEGG -> comparecluster
#enrichPathway -> comparecluster
#enricher -> comparecluster
#enrichMeSH -> comparecluster[ltail=clusterF]
gene2 -> gosemsim [lhead=clusterG]
de -> gosemsim [lhead=clusterG]
gene -> gosemsim[lhead=clusterG]
}") -> x
x
#yyplot::gv2file(x, file = 'clusterProfiler.pdf')
yyplot::gv2file(x, file = 'figures/clusterProfiler-diagram.png' )