#' Modulediscoverer UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd
#'
#' @importFrom shiny NS tagList
mod_Modulediscoverer_ui <- function(id){
ns <- NS(id)
tagList(
uiOutput(ns("input_choice")),
uiOutput(ns("ppi_choice")),
tags$div(id = "error_name_Modulediscoverer_js",
textInput(ns("module_name"), "Module object name", popup = "Object that is produced by the disease module inference methods", placeholder = "Module name")),
uiOutput(ns("error_name_descrip")),
uiOutput(ns("error_name_js")),
tags$a(class="collapsible", "Advanced settings", class = "btn btn-primary btn-block", "data-toggle" = 'collapse', "data-target" = '#advanced_mod',"aria-expanded" = 'false', tags$div(class= "expand_caret caret")),
tags$br(),
tags$div(id = "advanced_mod", class = "collapse",
tags$div(
sliderInput(ns("permutations"), label= "Permutations", min = 0, max = 10000, value = 5000, popup = "Number of permutations to perform to identify the community structure"),
sliderInput(ns("deg_cutoff"), label = "P-value cutoff for differentialy expressed genes", min = 0, max = 1, value = 0.05, popup = "P-value cutoff for differentially expressed genes"),
uiOutput(ns("error_p_value")),
sliderInput(ns("repeats"), label = "Repeats", min = 0, max = 30, value = 15, popup = "Number of times the algorithm is repeated"),
sliderInput(ns("clique_cutoff"), label = "P-value cutoff for significant cliques", min = 0, max = 1, value = 0.01, popup="Cutoff P-value for significant cliques"),
numericInput(ns("n_cores"), label = "N cores", value = 4, max = 10, min = 1, popup = "Number of CPU cores used"),
)),
tags$div(style = "text-align:center",
actionButton(ns("load_input"), "Infer Module discoverer module", onclick="loading_modal_open(); stopWatch()"),
htmlOutput(ns("close_loading_modal")), # Close modal with JS
htmlOutput((ns("adv_settings")))
)
)
}
#' Modulediscoverer Server Function
#'
#' @noRd
mod_Modulediscoverer_server <- function(input, output, session, con, upload_ui_1, input_overview_ui_1, ppi_networks_ui_1){
ns <- session$ns
Modulediscoverer_module <- reactiveValues()
x <- reactiveVal(1) # Reactive value to record if the input buttion is pressed
output$input_choice <- renderUI({
input_objects <- unlist(MODifieRDB::get_available_input_objects(con)$input_name)
selectInput(ns("input_object"), label = "Input object", choices = input_objects, popup = "The input used for analyzation")
})
observeEvent(c(upload_ui_1$input_name, input_overview_ui_1$value$delete, input_overview_ui_1$value$upload), {
input_objects <- unlist(MODifieRDB::get_available_input_objects(con)$input_name)
updateSelectInput(session, "input_object", choices = input_objects)
})
output$ppi_choice <- renderUI({
ppi_networks <- unlist(MODifieRDB::get_available_networks(con))
selectInput(ns("ppi_object"), label = "PPI network", choices = ppi_networks, popup = "Protein-Protein interaction network to overlay the differentially expressed genes on")
})
observeEvent(ppi_networks_ui_1$upload_ppi$upload_ppi, {
ppi_networks <- unlist(MODifieRDB::get_available_networks(con))
updateSelectInput(session, "ppi_object", choices = ppi_networks)
})
module_name <- reactive({
input$module_name
})
observe({
if (any(MODifieRDB::get_available_module_objects(con)$module_name == module_name())){
output$error_name_js <- renderUI({
tags$script(HTML("element = document.getElementById('error_name_Modulediscoverer_js');
element.classList.add('has-error');
document.getElementById('main_page_v2_ui_1-Columns_ui_1-Description1_ui_1-Modulediscoverer_ui_1-load_input').disabled = true;"))
})
output$error_name_descrip <- renderUI({
tags$p(class = "text-danger", tags$b("Error:"), "This name has been taken. Please try again!",
style = "-webkit-animation: fadein 0.5s; -moz-animation: fadein 0.5s; -ms-animation: fadein 0.5s;-o-animation: fadein 0.5s; animation: fadein 0.5s;")
})
} else {
output$error_name_js <- renderUI({
tags$script(HTML("document.getElementById('error_name_Modulediscoverer_js').classList.remove('has-error');
document.getElementById('main_page_v2_ui_1-Columns_ui_1-Description1_ui_1-Modulediscoverer_ui_1-load_input').disabled = false;"))
})
output$error_name_descrip <- NULL
}
})
observeEvent(input$load_input, {
id <- showNotification("Infering method", duration = NULL, closeButton = FALSE, type = "warning")
on.exit(removeNotification(id), add = TRUE)
output$error_p_value <- NULL
output$adv_settings <- renderUI({})
module_object <- try(MODifieRDB::modulediscoverer_db(input_name = input$input_object,
ppi_name = input$ppi_object,
permutations = input$permutations,
deg_cutoff = input$deg_cutoff,
repeats = input$repeats,
clique_cutoff = input$clique_cutoff,
module_name = input$module_name,
n_cores = input$n_cores,
con = con)
)
if (class(module_object) == "try-error"){
output$adv_settings <- renderUI({
tags$script("if ($('.collapsible.btn.btn-primary.btn-block').eq(0).attr('aria-expanded') === 'false') {
$('.collapsible.btn.btn-primary.btn-block').eq(0).click();
}")
})
if (grepl("Name", module_object)) {
output$error_name_descrip <- renderUI({
tags$p(class = "text-danger", tags$b("Error:"), module_object,
style = "-webkit-animation: fadein 0.5s; -moz-animation: fadein 0.5s; -ms-animation: fadein 0.5s;-o-animation: fadein 0.5s; animation: fadein 0.5s;")
})
} else {
output$error_p_value <- renderUI({
tags$p(class = "text-danger", tags$b("Error:"), module_object,
style = "-webkit-animation: fadein 0.5s; -moz-animation: fadein 0.5s; -ms-animation: fadein 0.5s;-o-animation: fadein 0.5s; animation: fadein 0.5s;")
})
}
} else {
x(x() + 1)
Modulediscoverer_module$infer <- x()
updateTextInput(session, "module_name", value = character(0))
}
output$close_loading_modal <- renderUI({
tags$script("loading_modal_close(); reset();")
})
})
return(Modulediscoverer_module)
}
## To be copied in the UI
# mod_Modulediscoverer_ui("Modulediscoverer_ui_1")
## To be copied in the server
# callModule(mod_Modulediscoverer_server, "Modulediscoverer_ui_1")
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