Nothing
ui.modules_1_tcga_02 = function(id){
ns = NS(id)
main_ui = tagList(
mol_quick_select_UI(ns("id"), "tcga",
c("mRNA","transcript","methylation","miRNA", "protein", "cnv")),
shinyWidgets::actionBttn(
inputId = ns("search_bttn"),
label = "Go!",
style = "gradient",
icon = icon("search"),
color = "primary",
block = TRUE,
size = "sm"
)
)
out_ui = tagList(
fluidRow(
uiOutput(ns("pancan_anatomy"))
)
)
side_ui = tagList(
fluidRow(
column(6,
h4("1. Visualization parameters"),
h5("(1) Gender:"),
selectInput(inputId = ns("Gender"), label = NULL,
choices = c("Male", "Female"), selected = "Female"),
),
column(6,
h4("2. Download options"),
h5("(1) Figure:"),
numericInput(inputId = ns("height"), label = "Height", value = 5),
numericInput(inputId = ns("width"), label = "Width", value = 12),
awesomeRadio(ns("device"), label = "Format",
choices = c("pdf", "png"), selected = "pdf", inline = TRUE),
downloadBttn(
outputId = ns("download_1"),
style = "gradient",
color = "primary",
block = TRUE,
size = "sm"
),
h5("(2) Data table:"),
downloadBttn(
outputId = ns("download_2"),
style = "gradient",
color = "primary",
block = TRUE,
size = "sm"
)
)
)
)
fluidPage(
style = "height:600px",
box(main_ui,
width = 5,
solidHeader = TRUE,
title = "Quick TCGA Analysis: Compare between tumor and normal",
status = "primary",
background = "gray",
collapsible = FALSE,
style = "height:600px",
footer = "TIPs: Click the bottom button to execute/update the analysis."
),
box(out_ui,
width = 7,
solidHeader = TRUE,
title = "Analytical results:",
status = "primary",
background = "gray",
collapsible = FALSE,
style = "height:600px",
footer = "TIPs: Pull the sidebar to adjsut plot parameters or download results through the top-right widget.",
sidebar = boxSidebar(
id = ns("sidebar"),
width = 50,
side_ui
)
)
)
}
server.modules_1_tcga_02 = function(input, output, session){
ns = session$ns
mol_info = callModule(mol_quick_select_Server, "id", "tcga")
plot_func <- eventReactive(input$search_bttn, {
out <- vis_pancan_anatomy(
Gene = mol_info$molecule(),
data_type = mol_info$profile(),
Gender = input$Gender
)
return(out)
})
w <- waiter::Waiter$new(id = ns("pancan_anatomy"), html = waiter::spin_hexdots(), color = "white")
observeEvent(input$search_bttn,{
# check whether valid out plot
shinyjs::disable("search_bttn")
chect_plot = is.null(plot_func())
if(chect_plot){
sendSweetAlert(session, title = "Warning", type = "error", text = "Please select a valid molecule.")
req(chect_plot)
}
output$pancan_anatomy <- renderUI({
w$show()
output$plot = renderPlot(plot_func()$plot)
fluidRow(
column(10, offset = 1,
plotOutput(ns("plot"), height = "580px"),
)
)
})
shinyjs::enable("search_bttn")
})
output$download_1 <- downloadHandler(
filename = function() {
paste0(mol_info$molecule(), "_", mol_info$profile(), "_pancan_anatomy.", input$device)
},
content = function(file) {
p <- plot_func()$plot
if (input$device == "pdf") {
pdf(file, width = input$width, height = input$height)
print(p)
dev.off()
} else {
png(file, width = input$width, height = input$height, res = 600, units = "in")
print(p)
dev.off()
}
}
)
output$download_2 <- downloadHandler(
filename = function() {
paste0(mol_info$molecule(), "_", mol_info$profile(), "_pancan_anatomy.csv")
},
content = function(file) {
data = plot_func()$data %>%
dplyr::rename('Cancer'='tissue', 'Group'='type.x','Organ'='organ','Value'='value') %>%
dplyr::select(Cancer, Group, Organ, Value)
write.csv(data, file, row.names = FALSE)
}
)
}
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