# Table
network_enrich_table <- reactive({
message('Creating the Gene Network in enrichment tab')
bp <- enrichplot::pairwise_termsim(enrichGO(diffExpress(),
ont=input$go_ontology,
OrgDb = input$enrich_organism))
return(bp)
})
# Plot
networkEnrichment_reactive <- reactive({
p <- enrichplot::emapplot(network_enrich_table())
return(p)
})
output$network_renrichment <- renderPlot(height = 900, {
networkEnrichment_reactive()
})
# Table to Visualize
# Download the table button
netEnrichReadable <- reactive({
message('Creating the Gene Network in enrichment tab for downloading')
bp <- clusterProfiler::setReadable(network_enrich_table(),
OrgDb = input$enrich_organism)
bp <- as.data.frame(bp)
return(bp)
})
output$netEnrichReadableOut <- DT::renderDataTable({
DT::datatable(netEnrichReadable(),
extensions = 'Scroller',
options = list(scrollY=300,
scrollX=30),
width = '600px',height = '1500px')
})
output$download_network_table <- downloadHandler(
filename = function(){ 'network_results.csv'},
content = function(fname){
write.csv(x = netEnrichReadable(),
fname,
row.names = FALSE)
}
)
output$networkEnrichmentUI <- renderUI({
if (length(diffExpress()) == 0) {
print('The Gene Set Enrichment Analysis did not found any gene
enriched under the specific p-value cut-off')
}else{
fluidRow(
column(width = 8,
shinycssloaders::withSpinner(
plotOutput('network_renrichment'),
image = 'images/logoTransparentSmall.gif',
image.width = '200px'
)
),
column(
width = 4,
DT::dataTableOutput('netEnrichReadableOut'),
br(),
downloadButton(outputId = 'download_network_table',
label = 'Download table')
)
)
}
})
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