inst/shinyapp/modules/modules-pancan-til.R

In UCSCXenaShiny: Interactive Analysis of UCSC Xena Data

ui.modules_pancan_til <- function(id) {
  ns <- NS(id)
  fluidPage(
        fluidRow(
          column(
            3,
            wellPanel(
            shinyWidgets::prettyRadioButtons(
              inputId = ns("profile"), label = "Select a genomic profile:",
              choiceValues = c("mRNA", "transcript", "methylation", "protein", "miRNA", "cnv_gistic2"),
              choiceNames = c("mRNA Expression", "Transcript Expression", "DNA Methylation", "Protein Expression", "miRNA Expression", "Copy Number Variation"),
              animation = "jelly"
            ),
            selectizeInput(
              inputId = ns("Pancan_search"),
              label = "Input a gene or formula (as signature)",
              choices = NULL,
              width = "100%",
              options = list(
                create = TRUE,
                maxOptions = 5,
                placeholder = "Enter a gene symbol, e.g. TP53",
                plugins = list("restore_on_backspace")
              )
            ),
        shinyWidgets::pickerInput(
          inputId = ns("immune_sig"),
          label = "Cell types :",
          selected = c(
            "B cell_TIMER",
            "T cell CD4+_TIMER",
            "T cell CD8+_TIMER",
            "Neutrophil_TIMER",
            "Macrophage_TIMER",
            "Myeloid dendritic cell_TIMER"
          ),
          choices = TIL_signatures,
          options = list(
            `actions-box` = TRUE
          ),
          multiple = TRUE
        ),
        selectInput(
          inputId = ns("cor_method"),
          label = "Select Correlation method",
          choices = c("spearman", "pearson"),
          selected = "spearman"
        ),
        tags$hr(style = "border:none; border-top:2px solid #5E81AC;"),
        shinyWidgets::actionBttn(
          inputId = ns("search_bttn"),
          label = "Go!",
          style = "gradient",
          icon = icon("search"),
          color = "primary",
          block = TRUE,
          size = "sm"
        )),
        wellPanel(
        numericInput(inputId = ns("height"), label = "Height", value = 8),
        numericInput(inputId = ns("width"), label = "Width", value = 12),
        prettyRadioButtons(
          inputId = ns("device"),
          label = "Choose plot format",
          choices = c("pdf", "png"),
          selected = "pdf",
          inline = TRUE,
          icon = icon("check"),
          animation = "jelly",
          fill = TRUE
        ),
        downloadBttn(
          outputId = ns("download"),
          style = "gradient",
          color = "default",
          block = TRUE,
          size = "sm"
        ))
      ),
      column(9,
        plotOutput(ns("hm_gene_immune_cor"), height = "500px"),
        hr(),
        h5("NOTEs:"),
        p("1. ", tags$a(href = "http://timer.cistrome.org/", "TIL data source")),
        p("2. ", tags$a(href = "https://pancanatlas.xenahubs.net/", "Genomic profile data source")),
        DT::DTOutput(outputId = ns("tbl")),
        shinyjs::hidden(
          wellPanel(
            id = ns("save_csv"),
            downloadButton(ns("downloadTable"), "Save as csv")
          )
        )
      )
    )
  )
}

server.modules_pancan_til <- function(input, output, session) {
  ns <- session$ns

  profile_choices <- reactive({
    switch(input$profile,
      mRNA = list(all = pancan_identifiers$gene, default = "TP53"),
      methylation = list(all = pancan_identifiers$gene, default = "TP53"),
      protein = list(all = pancan_identifiers$protein, default = "P53"),
      transcript = list(all = load_data("transcript_identifier"), default = "ENST00000000233"),
      miRNA = list(all = pancan_identifiers$miRNA, default = "hsa-miR-769-3p"),
      cnv_gistic2 = list(all = pancan_identifiers$gene, default = "TP53"),
      list(all = "NONE", default = "NONE")
    )
  })


  observe({
    updateSelectizeInput(
      session,
      "Pancan_search",
      choices = profile_choices()$all,
      selected = profile_choices()$default,
      server = TRUE
    )
  })

  # Show waiter for plot
  w <- waiter::Waiter$new(id = ns("hm_gene_immune_cor"), html = waiter::spin_hexdots(), color = "white")

  plot_func <- eventReactive(input$search_bttn, {
    if (nchar(input$Pancan_search) >= 1) {
      p <- vis_gene_TIL_cor(
        Gene = input$Pancan_search,
        sig = input$immune_sig,
        cor_method = input$cor_method,
        data_type = input$profile
      )
    }
    return(p)
  })


  output$hm_gene_immune_cor <- renderPlot({
    w$show() # Waiter add-ins
    plot_func()
  })


  observeEvent(input$search_bttn, {
    if (nchar(input$Pancan_search) >= 1) {
      shinyjs::show(id = "save_csv")
    } else {
      shinyjs::hide(id = "save_csv")
    }
  })


  output$tbl <- renderDT(
    plot_func()$data,
    options = list(lengthChange = FALSE)
  )


  ## downloadTable
  output$downloadTable <- downloadHandler(
    filename = function() {
      paste0(input$Pancan_search, "_", input$profile, "_pancan_TIL.csv")
    },
    content = function(file) {
      write.csv(plot_func()$data, file, row.names = FALSE)
    }
  )

  output$download <- downloadHandler(
    filename = function() {
      paste0(input$Pancan_search, "_", input$profile, "_pancan_TIL.", input$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()
      }
    }
  )
}