Nothing
ui.modules_3_ccle_03 = function(id){
ns = NS(id)
main_ui = tagList(
mol_quick_select_UI(ns("id"), "ccle", c("mRNA")),
h4("3. Select X-axis type"),
selectInput(
inputId = ns("x_axis_type"),
label = NULL,
choices = c("mean.diff", "median.diff"),
selected = "mean.diff"
),
shinyWidgets::actionBttn(
inputId = ns("search_bttn"),
label = "Go!",
style = "gradient",
icon = icon("search"),
color = "primary",
block = TRUE,
size = "sm"
),
p("NOTE: ")
)
out_ui = tagList(
fluidRow(
uiOutput(ns("gene_ccle_drug_target")),
)
)
side_ui = tagList(
fluidRow(
column(6,
h4("1. Visualization parameters"),
selectInput(
inputId = ns("output_form"),
label = "(1) Plot output form:",
choices = c("plotly", "ggplot2"),
selected = "plotly"
),
),
column(6,
h4("2. Download options"),
h5("(1) Figure:"),
numericInput(inputId = ns("height"), label = "Height", value = 6),
numericInput(inputId = ns("width"), label = "Width", value = 6),
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 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_3_ccle_03 = function(input, output, session){
ns = session$ns
mol_info = callModule(mol_quick_select_Server, "id", "ccle")
plot_func <- eventReactive(input$search_bttn, {
# # check whether valid out plot
# chect_plot = inherits(plot_func(), "try-error")
# if(chect_plot){
# sendSweetAlert(session, title = "Warning", type = "error", text = "Please select a valid molecule.")
# req(chect_plot)
# }
p <- vis_gene_drug_response_asso(
Gene = mol_info$molecule(),
output_form = input$output_form,
x_axis_type = input$x_axis_type
)
print(class(p))
return(p)
})
w <- waiter::Waiter$new(id = ns("gene_ccle_drug_target"), html = waiter::spin_hexdots(), color = "black")
observeEvent(input$search_bttn,{
shinyjs::disable("search_bttn")
if (input$output_form == "ggplot2") {
output$gene_ccle_drug_target <- renderUI({
w$show()
output$plot = renderPlot(plot_func())
fluidRow(
column(10, offset = 1,
plotOutput(ns("plot"), height = "580px"),
)
)
})
} else if (input$output_form == "plotly"){
output$gene_ccle_drug_target <- renderUI({
w$show()
output$plot = plotly::renderPlotly(plot_func())
fluidRow(
column(10, offset = 1,
plotly::plotlyOutput(ns("plot"), height = "580px"),
)
)
})
}
shinyjs::enable("search_bttn")
})
output$download_1 <- downloadHandler(
filename = function() {
paste0(mol_info$molecule(), "_ccle_drug_target.", input$device)
},
content = function(file) {
p <- plot_func()
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$molecule(), "_ccle_drug_target.csv")
},
content = function(file) {
data = data <- analyze_gene_drug_response_asso(mol_info$molecule(), combine = TRUE)
write.csv(data, file, row.names = FALSE)
}
)
}
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