Nothing
observeEvent(input$goButtonBiomarker, {
withBusyIndicatorServer("goButtonBiomarker", {
biomarker.vals <- reactiveValues(
biomarker.list = suppressWarnings(find_biomarker(vals$MAE,
tax_level=input$taxl_biomarker,
input_select_target_biomarker=input$select_target_condition_biomarker,
nfolds = input$num.cv.nfolds,
nrepeats = input$num.biomarker.run,
seed = 99,
percent_top_biomarker = input$percent_top_biomarker,
model_name = input$select_model_biomarker))
)
output$biomarker_list <- renderTable({
biomarker.vals$biomarker.list$biomarker
})
output$importance_plot <- renderPlot({
biomarker.vals$biomarker.list$importance_plot
})
output$roc_plot <- renderPlot({
biomarker.vals$biomarker.list$roc_plot
})
})
})
#
#
#
# ### check whether selected condition for biomarker has two levels or more
# output$biomarker_condition_type <- reactive({
# MAE = vals$MAE
# target.var.index <- which(colnames(colData(MAE)) == input$select_target_condition_biomarker)
# if (is_integer0(target.var.index)){
# target.var.index <- 1
# }
# label.vec <- colData(MAE)[[target.var.index]]
# label.level.num <- length(unique(label.vec))
# if (label.level.num == 2){
# return("binary")
# } else{
# return("multiple")
# }
#
# })
# outputOptions(output, "biomarker_condition_type", suspendWhenHidden = FALSE)
#
# # select 2 levels
# output$biomarker_condition_options <- renderUI({
# MAE = vals$MAE
# variable.vec <- colData(MAE)[[
# which(colnames(colData(MAE)) == input$select_target_condition_biomarker)]]
# filter.option.vec <- sort(unique(variable.vec))
# tagList(
# selectInput("biomarker_condition_options_use", "Select 2 levels", choices = filter.option.vec, multiple = TRUE)
# )
# })
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