hurr durr
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2 changed files with 141 additions and 1 deletions
140
ml/global.R
140
ml/global.R
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@ -189,3 +189,143 @@ makeplot = function(x, # the DataFrame to plot
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# ggplotly()
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}
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if (interactive()){
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server=shinyServer(function(input, output) {
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observeEvent({
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input$combined_model
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input$combined_data
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input$combined_training_genes
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input$score_dropdown
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input$resample_dropdown
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input$drug_dropdown
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input$split_dropdown
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},{
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combined_model = input$combined_model
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selection = input$score_dropdown
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resampler = input$resample_dropdown
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selected_drug = input$drug_dropdown
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selected_split = input$split_dropdown
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combined_data = input$combined_data
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combined_training_genes = input$combined_training_genes
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selected_gene = combo[combo$drug == selected_drug,'gene']
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# hide stuff if selected
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if(combined_model == "combined") {
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#if(combined_model == TRUE) {
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hide("split_dropdown")
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#show("resample_dropdown")
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show("combined_data")
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show("combined_training_genes")
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filedata = paste0(combined_training_genes,
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'genes_logo_skf_BT_',
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selected_gene,
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'_',
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combined_data
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)
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print(filedata)
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print('doing COMBINED plot')
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output$plot <- renderPlot(makeplot(loaded_files[[filedata]],
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selection,
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"none", # always 'none' for combined plot
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gene = combo[drug==selected_drug,"gene"],
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combined_training_genes = combined_training_genes,
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display_combined = TRUE,
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)
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)
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# e.g.
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# makeplot(loaded_files$`5genes_logo_skf_BT_pnca_actual`, "MCC", "none" , gene = 'foo', combined_training_genes = '1234', display_combined = TRUE)
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} else {
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show("split_dropdown")
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#show("resample_dropdown")
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hide("combined_data")
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hide("combined_training_genes")
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filedata = paste0(combo[drug==selected_drug,"gene"],
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'_baselineC_',
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selected_split
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)
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print(filedata)
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print("doing GENE plot")
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output$plot <- renderPlot(makeplot(loaded_files[[filedata]],
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selection,
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resampler,
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gene = combo[drug==selected_drug,"gene"],
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display_combined = FALSE,
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)
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)
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}
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# 6genes_logo_skf_BT_gid_complete
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# filedata example for combined: 6genes_logo_skf_BT_embb_actual
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# 6genes_logo_skf_BT_embb_combined
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})
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}
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)
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ui=dashboardPage(skin="purple",
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dashboardHeader(title="Score Selector"),
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dashboardSidebar(
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radioButtons("combined_model",
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label="Graph Model",
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choiceNames = c("Combined", "Gene"),
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choiceValues = c("combined", "gene"),
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selected="gene"
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),
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# checkboxInput("combined_model",
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# "Combined Model",
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# value=FALSE
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# ),
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#),
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radioButtons("combined_data",
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label="Data Type",
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choiceNames = c("Complete", "Actual", "Feature Selection"),
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choiceValues = c("complete", "actual", "FS"),
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selected="complete"
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),
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radioButtons("combined_training_genes",
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label="Training Genes",
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choiceNames = c("One", "Two", "Five", "Six"),
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choiceValues = c("1", "2", "5","6"),
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selected = "5"
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),
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radioButtons("drug_dropdown",
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label="Drug",
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choices = drug,
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selected="pyrazinamide"
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),
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radioButtons("split_dropdown",
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label="Split",
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choices = split_type,
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selected="cd_7030"
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),
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radioButtons("score_dropdown",
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label="Score",
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choices = scores,
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selected="MCC"
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),
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radioButtons("resample_dropdown",
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label="Resampling",
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choices = resample_types,
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selected="none" # "none" is a value
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)
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),
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dashboardBody(
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useShinyjs(),
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#plotlyOutput("plot", height = 800),
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plotOutput("plot", height = 800),
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# %>% withSpinner(color="#0dc5c1"), # uncomment if you want the spinner
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#downloadButton("save", "Download Plot"),
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#DT::dataTableOut("plotdata"),
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verbatimTextOutput("debug")
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)
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)
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app <- shinyApp(ui, server)
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runApp(app)
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}
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2
ml/ui.R
2
ml/ui.R
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@ -44,7 +44,7 @@ dashboardPage(skin="purple",
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radioButtons("split_dropdown",
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label="Split",
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choices = split_type,
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selected="7030"
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selected="cd_7030"
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),
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radioButtons("score_dropdown",
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label="Score",
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