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wilson-apps/wilson-basic/app.R

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library(shiny)
library(DT)
library(shinydashboard)
library(shinythemes)
library(colourpicker)
library(shinyjs)
library(wilson)
library(log4r)
library(shinyBS)
library(data.table)
library(htmltools)
# versions
wilson_app_version <- "2.0.0"
wilson_package_version <- as.character(packageVersion("wilson"))
#
# UI options
#
# width of the side panel
wilson_sidepanelwidth <- 2
# width of the main panel
wilson_mainpanelwidth <- 10
#
# Server options
#
# Allow the server to print messages to the console
wilson_logging <- FALSE
# Redirect stdout to stderr when run on a server. This will print all output into the log file.
wilson_redirect_stdout <- FALSE
# Enable logging of reactive events, which can be viewed later with the showReactLog function. This incurs a substantial performance penalty and should not be used in production.
wilson_enable_reactive_event_logging <- FALSE
# Enable automatic reload of files that change during the runtime. All connected Shiny sessions will be reloaded. This incurs a substantial performance penalty and should not be used in production.
wilson_enable_auto_reload <- TRUE
# Customize the patterns for files that shiny will monitor for automatic reloading
wilson_auto_reload_pattern <- ".*\\.(r|se|R|clarion)$"
# wilson_auto_reload_pattern <- ".*\\.(r|html?|js|css|png|jpe?g|gif)$"
# Sets the auto reload polling interval in milliseconds
wilson_auto_reload_interval <- 3000
# Sets the max file upload size in mb
wilson_max_upload_size <- 100
# Allow logging of uploaded files for debugging purposes
wilson_log_upload <- TRUE
#
# WIlsON application logic
#
if (wilson_logging) options(shiny.trace = TRUE)
if (wilson_enable_reactive_event_logging) options(shiny.reactlog = TRUE)
if (wilson_enable_auto_reload) {
options(shiny.autoreload = TRUE)
options(shiny.autoreload.pattern = wilson_auto_reload_pattern)
options(shiny.autoreload.interval = wilson_auto_reload_interval)
}
options(shiny.maxRequestSize = wilson_max_upload_size * 1024^2)
# Redirect stdout to stderr when running on server. All output will end up in the log file
if (wilson_redirect_stdout & !interactive() ) {
sink(stderr(), type = "output")
}
# create version info
version_info <- paste0("wilson app: ", wilson_app_version, "\n",
"wilson package: ", wilson_package_version)
# Define the UI
ui <- dashboardPage(header = dashboardHeader(disable = TRUE), sidebar = dashboardSidebar(disable = TRUE),
body = dashboardBody(
useShinyjs(),
tags$style(type = "text/css", "body {padding-top: 60px;}"),
tags$style(type = "text/css",
"pre[id*='filter'] {font-size: 10px;}
pre[id*='log'] {height: 200px; font-size: 10px}"),
tags$head(tags$link(rel = "icon", type = "image/png", href = "wilson_icon.png"),
# disable tabs on load
tags$script(
"window.onload = function() {
$('#top-menu a:contains(\"Geneview\")').addClass('disabled').parent().addClass('disabled');
$('#top-menu a:contains(\"Data Reduction\")').addClass('disabled').parent().addClass('disabled');
$('#top-menu a:contains(\"Scatterplot\")').addClass('disabled').parent().addClass('disabled');
$('#top-menu a:contains(\"Heatmap\")').addClass('disabled').parent().addClass('disabled');
};"
),
# custom dropdown width
tags$style(
HTML('#fileLoader + div>.selectize-dropdown{
width: 300px !important;
}
#fileLoader + div>.selectize-input{
overflow: auto;
}'))
),
titlePanel(title = "", windowTitle = "WIlsON"),
navbarPage(title = div(style = "margin-left: -15px; margin-top: -20px", img(src = "wilson_header.png", width = "auto", height = "63px", style = "margin-right: -15px;", title = version_info)), theme = shinytheme("sandstone"), position = "fixed-top", id = "top-menu",
# introduction ------------------------------------------------------------
tabPanel(
title = "Introduction",
column(
width = 7,
offset = 2,
includeMarkdown("introduction/intro.md")
)
),
# feature Selection -------------------------------------------------------
tabPanel(title = "Feature Selection",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter1"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h1"),
tags$h3("Global Parameters"),
radioButtons(inputId = "data_origin", label = "Choose data origin:", choices = c("Examples", "Upload")),
uiOutput(outputId = "fileLoader"),
bsButton("filter_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("filter_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12,
tabPanel(title = "Data",
featureSelectorUI("featureSelector")
),
tabPanel(title = "Highlight",
featureSelectorUI("featureSelector_h")
)
)
)
)
),
# geneview ---------------------------------------------------------------
navbarMenu(
title = "Geneview",
tabPanel(title = "static",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_geneviewer_static"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_geneviewer_static"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_geneviewer_static", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_geneviewer_static", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_geneviewer_static", label = "Scaling factor", min = 1, max = 10, value = 1, step = 0.1),
bsButton("geneviewer_static_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("geneviewer_static_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "GeneViewer",
tabPanel(title = "GeneViewer",
geneViewUI("geneviewer_static")
),
tabPanel(title = "Data",
dataTableOutput("geneviewer_static_table")
)
)
)
)
),
tabPanel(title = "interactive",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_geneviewer_interactive"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_geneviewer_interactive"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_geneviewer_interactive", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_geneviewer_interactive", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_geneviewer_interactive", label = "Scaling factor", min = 1, max = 10, value = 1, step = 0.1),
bsButton("geneviewer_interactive_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("geneviewer_interactive_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "GeneViewer",
tabPanel(title = "GeneViewer",
geneViewUI("geneviewer_interactive")
),
tabPanel(title = "Data",
dataTableOutput("geneviewer_interactive_table")
)
)
)
)
)
)
,
# data reduction ----------------------------------------------------------
navbarMenu(
title = "Data Reduction",
tabPanel(title = "PCA",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_pca"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_pca"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_pca", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_pca", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_pca", label = "Scaling factor", min = 1, max = 10, value = 1, step = 0.1),
bsButton("pca_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("pca_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "PCA", id = "pca_tabs",
tabPanel(title = "PCA",
pcaUI("pca")
),
tabPanel(title = "Data",
uiOutput("pca_data_tabs")
)
)
)
)
),
tabPanel(title = "Global Correlation Heatmap",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_global_cor_heatmap"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_global_cor_heatmap"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_global_cor_heatmap", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_global_cor_heatmap", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_global_cor_heatmap", label = "Scaling factor", min = 1, max = 10, value = 2, step = 0.1),
bsButton("global_cor_heatmap_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("global_cor_heatmap_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "Global correlation heatmap",
tabPanel(title = "Global correlation heatmap",
global_cor_heatmapUI("glob_cor_heat")
),
tabPanel(title = "Data",
dataTableOutput("glob_cor_heat_data")
)
)
)
)
)
),
# scatterplot -------------------------------------------------------------
navbarMenu(
title = "Scatterplot",
"Static",
tabPanel(
title = "Simple Scatter",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_simple_scatter_static"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_simple_scatter_static"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_simple_scatter_static", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_simple_scatter_static", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_simple_scatter_static", label = "Scaling factor", min = 1, max = 10, value = 1, step = 0.1),
markerUI("marker_simple_scatter_static"),
bsButton("simple_scatter_static_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("simple_scatter_static_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "Simple Scatter",
tabPanel(title = "Simple Scatter",
scatterPlotUI("simple_scatter_static")
),
tabPanel(title = "Data",
dataTableOutput("simple_scatter_static_table")
)
)
)
)
),
tabPanel(
title = "Duoscatter",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_duoscatter_static"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_duoscatter_static"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_duoscatter_static", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_duoscatter_static", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_duoscatter_static", label = "Scaling factor", min = 1, max = 10, value = 1, step = 0.1),
markerUI("marker_duoscatter_static"),
bsButton("duoscatter_static_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("duoscatter_static_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "Duoscatter",
tabPanel(title = "Data (left)",
dataTableOutput("duoscatter_static_table_1")
),
tabPanel(title = "Duoscatter",
fluidRow(
column(width = 6,
scatterPlotUI("duoscatter_static_1")
),
column(width = 6,
scatterPlotUI("duoscatter_static_2")
)
)
),
tabPanel(title = "Data (right)",
dataTableOutput("duoscatter_static_table_2")
)
)
)
)
),
"Interactive",
tabPanel(
title = "Simple Scatter",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_simple_scatter_interactive"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_simple_scatter_interactive"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_simple_scatter_interactive", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_simple_scatter_interactive", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_simple_scatter_interactive", label = "Scaling factor", min = 1, max = 10, value = 1, step = 0.1),
markerUI("marker_simple_scatter_interactive"),
bsButton("simple_scatter_interactive_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("simple_scatter_interactive_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "Simple Scatter",
tabPanel(title = "Simple Scatter",
scatterPlotUI("simple_scatter_interactive")
),
tabPanel(title = "Data",
dataTableOutput("simple_scatter_interactive_table")
)
)
)
)
),
tabPanel(
title = "Duoscatter",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_duoscatter_interactive"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_duoscatter_interactive"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_duoscatter_interactive", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_duoscatter_interactive", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_duoscatter_interactive", label = "Scaling factor", min = 1, max = 10, value = 1, step = 0.1),
markerUI("marker_duoscatter_interactive"),
bsButton("duoscatter_interactive_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("duoscatter_interactive_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "Duoscatter",
tabPanel(title = "Data (left)",
dataTableOutput("duoscatter_interactive_table_1")
),
tabPanel(title = "Duoscatter",
fluidRow(
column(width = 6,
scatterPlotUI("duoscatter_interactive_1")
),
column(width = 6,
scatterPlotUI("duoscatter_interactive_2")
)
)
),
tabPanel(title = "Data (right)",
dataTableOutput("duoscatter_interactive_table_2")
)
)
)
)
)
),
# heatmap -----------------------------------------------------------------
navbarMenu(
title = "Heatmap",
tabPanel(title = "Static",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_heatmap_static"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_heatmap_static"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_heatmap_static", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_heatmap_static", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_heatmap_static", label = "Scaling factor", min = 1, max = 10, value = 1, step = 0.1),
bsButton("heatmap_static_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("heatmap_static_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "Heatmap",
tabPanel(title = "Heatmap",
heatmapUI("heatmap_static")
),
tabPanel(title = "Data",
dataTableOutput("heatmap_static_table")
)
)
)
)
),
tabPanel(title = "Interactive",
sidebarLayout(
sidebarPanel(width = wilson_sidepanelwidth,
tags$h6("Selected Features"),
verbatimTextOutput("filter_heatmap_interactive"),
tags$h6("Highlighted Features"),
verbatimTextOutput("filter_h_heatmap_interactive"),
tags$h3("Global Parameters"),
numericInput(inputId = "width_heatmap_interactive", label = "Width in cm", value = 0, min = 0),
numericInput(inputId = "height_heatmap_interactive", label = "Height in cm", value = 0, min = 0),
sliderInput(inputId = "scale_heatmap_interactive", label = "Scaling factor", min = 1, max = 10, value = 1, step = 0.1),
bsButton("heatmap_interactive_log_b", label = "Toggle log", style = "default", size = "small"),
hidden(verbatimTextOutput("heatmap_interactive_log"))
),
mainPanel(width = wilson_mainpanelwidth,
tabBox(width = 12, selected = "Heatmap",
tabPanel(title = "Heatmap",
heatmapUI("heatmap_interactive", row.label = FALSE)
),
tabPanel(title = "Data",
dataTableOutput("heatmap_interactive_table")
)
)
)
)
)
)
)
)
)
server <- function(session, input, output) {
# Session token
message("Session: ", session$token)
# logging
if (!dir.exists("logs")) {
dir.create("logs")
}
logger <- create.logger(logfile = paste0("logs/", session$token, ".log"), level = "INFO")
set_logger(logger, token = session$token)
# delete logger on session end
onSessionEnded(function() {
remove(list = paste0("logger", session$token), envir = wilson:::wilson.globals)
})
# read log
log <- reactiveFileReader(intervalMillis = 100, session = session, filePath = paste0("logs/", session$token, ".log"), readFunc = readLines)
# show log
prepare_log <- reactive(paste(log(), collapse = "\n"))
output$filter_log <- output$geneviewer_static_log <- output$geneviewer_interactive_log <- output$pca_log <- output$global_cor_heatmap_log <- output$simple_scatter_static_log <- output$simple_scatter_interactive_log <- output$duoscatter_static_log <- output$duoscatter_interactive_log <- output$heatmap_static_log <- output$heatmap_interactive_log <- renderText(prepare_log())
observeEvent(ignoreNULL = FALSE, ignoreInit = TRUE, {
input$filter_log_b
input$geneviewer_static_log_b
input$geneviewer_interactive_log_b
input$pca_log_b
input$global_cor_heatmap_log_b
input$simple_scatter_static_log_b
input$simple_scatter_interactive_log_b
input$duoscatter_static_log_b
input$duoscatter_interactive_log_b
input$heatmap_static_log_b
input$heatmap_interactive_log_b
}, {
toggle("filter_log")
toggle("geneviewer_static_log")
toggle("geneviewer_interactive_log")
toggle("pca_log")
toggle("global_cor_heatmap_log")
toggle("simple_scatter_static_log")
toggle("simple_scatter_interactive_log")
toggle("duoscatter_static_log")
toggle("duoscatter_interactive_log")
toggle("heatmap_static_log")
toggle("heatmap_interactive_log")
})
#
# Data options
#
# Use all .se and .clarion files specified in data/
load <- sapply(list.files(path = "data/", pattern = "\\.se|\\.clarion"), function(x){ paste0("data/", x)})
# check for additional data
if (dir.exists("external_data/")) {
# use all .se and .clarion files specified in external_data/
external <- sapply(list.files(path = "external_data/", pattern = "\\.se|\\.clarion"), function(x){ paste0("external_data/", x)})
if (length(external) > 0) {
# omit duplicated names from load
load <- load[setdiff(names(load), names(external))]
# merge file lists
load <- c(load, external)
# sort by name
load <- load[order(names(load))]
}
}
output$fileLoader <- renderUI({
shiny::req(input$data_origin)
if (input$data_origin == "Examples") {
return(selectizeInput(inputId = "fileLoader", label = "Select data set", choices = load, selected = input$fileLoader))
} else if (input$data_origin == "Upload") {
return(fileInput(inputId = "fileLoader2", label = "Upload clarion file", accept = c(".se", ".clarion")))
}
})
# last upload filepath; prevents loading of last upload
last_upload <- reactiveVal(value = "")
# returns filepath
file_path <- eventReactive({
if (isTruthy(input$fileLoader) && input$data_origin == "Examples") {
return(TRUE)
} else if (isTruthy(input$fileLoader2$datapath) && input$data_origin == "Upload" && input$fileLoader2$datapath != isolate(last_upload())) {
last_upload(input$fileLoader2$datapath)
return(TRUE)
}
}, {
if (input$data_origin == "Examples") {
shiny::req(input$fileLoader)
return(list(path = input$fileLoader, name = input$fileLoader))
} else if (input$data_origin == "Upload") {
shiny::req(input$fileLoader2$datapath)
# copy for debugging
if (wilson_log_upload) {
# file name = session_date_filename
date <- strftime(x = Sys.time(), format = "%Y%m%d-%H%M%S")
file.copy(from = input$fileLoader2$datapath, to = file.path("logs", paste(session$token, date, input$fileLoader2$name, sep = "_")))
}
return(list(path = input$fileLoader2$datapath, name = input$fileLoader2$name))
}
})
# Load and parse data
parsed <- reactive({
shiny::req(file_path())
file <- try(parser(file_path()$path))
if (!isTruthy(file)) {
error(logger, paste("Couldn't parse", file_path()$name, file))
showNotification(
id = "parsing-error",
paste0("Error parsing file ", file_path()$name, "."),
file,
duration = NULL,
type = "error"
)
shinyjs::addClass(selector = "#shiny-notification-parsing-error", class = "notification-position-center")
} else {
info(logger, paste("Parsing file", file_path()$name))
removeNotification(id = "parsing-error")
}
shiny::req(file)
})
# featureSelection --------------------------------------------------------
fs <- callModule(featureSelector, "featureSelector", clarion = parsed)
fsh <- callModule(featureSelector, "featureSelector_h", clarion = reactive(fs()$object), selection.default = "none")
# show filter selection
text <- reactive(paste(fs()$filter, collapse = "\n"))
output$filter1 <- output$filter_geneviewer_static <- output$filter_geneviewer_interactive <- output$filter_pca <- output$filter_global_cor_heatmap <- output$filter_simple_scatter_static <- output$filter_simple_scatter_interactive <- output$filter_duoscatter_static <- output$filter_duoscatter_interactive <- output$filter_heatmap_static <- output$filter_heatmap_interactive <- renderText(text())
# show filter highlight selection
text_h <- reactive(paste(fsh()$filter, collapse = "\n"))
output$filter_h1 <- output$filter_h_geneviewer_static <- output$filter_h_geneviewer_interactive <- output$filter_h_pca <- output$filter_h_global_cor_heatmap <- output$filter_h_simple_scatter_static <- output$filter_h_simple_scatter_interactive <- output$filter_h_duoscatter_static <- output$filter_h_duoscatter_interactive <- output$filter_h_heatmap_static <- output$filter_h_heatmap_interactive <- renderText(text_h())
# enable/ disable tabs
observe({
if (isTruthy(fs()$object)) {
runjs(
"$('#top-menu a:contains(\"Geneview\")').removeClass('disabled').parent().removeClass('disabled');
$('#top-menu a:contains(\"Data Reduction\")').removeClass('disabled').parent().removeClass('disabled');
$('#top-menu a:contains(\"Scatterplot\")').removeClass('disabled').parent().removeClass('disabled');
$('#top-menu a:contains(\"Heatmap\")').removeClass('disabled').parent().removeClass('disabled');"
)
} else {
runjs(
"$('#top-menu a:contains(\"Geneview\")').addClass('disabled').parent().addClass('disabled');
$('#top-menu a:contains(\"Data Reduction\")').addClass('disabled').parent().addClass('disabled');
$('#top-menu a:contains(\"Scatterplot\")').addClass('disabled').parent().addClass('disabled');
$('#top-menu a:contains(\"Heatmap\")').addClass('disabled').parent().addClass('disabled');"
)
}
})
# geneviewer --------------------------------------------------------------
gene_static <- callModule(geneView, "geneviewer_static", clarion = reactive(fs()$object), plot.method = "static", width = reactive(input$width_geneviewer_static), height = reactive(input$height_geneviewer_static), scale = reactive(input$scale_geneviewer_static))
gene_interactive <- callModule(geneView, "geneviewer_interactive", clarion = reactive(fs()$object), plot.method = "interactive", width = reactive(input$width_geneviewer_interactive), height = reactive(input$height_geneviewer_interactive), scale = reactive(input$scale_geneviewer_interactive))
output$geneviewer_static_table <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
gene_static()
})
output$geneviewer_interactive_table <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
gene_interactive()
})
# data reduction ----------------------------------------------------------
# pca
pca <- callModule(pca, "pca", clarion = reactive(fs()$object), width = reactive(input$width_pca), height = reactive(input$height_pca), scale = reactive(input$scale_pca))
output$pca_data_tabs <- renderUI({
tabs <- lapply(names(pca()), function(name) {
tabPanel(
title = name,
dataTableOutput(outputId = name)
)
})
do.call(tabsetPanel, tabs)
})
observe({
if (input$pca_tabs == "Data" & !is.null(pca())) {
for (name in names(pca())) {
#local so each item get's own id, else tables will be overwritten
local({
local_name <- name
output[[local_name]] <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE),
pca()[[local_name]]
)
})
}
}
})
# global clustering heatmap
glob_cor_table <- callModule(global_cor_heatmap, "glob_cor_heat", clarion = reactive(fs()$object), width = reactive(input$width_global_cor_heatmap), height = reactive(input$height_global_cor_heatmap), scale = reactive(input$scale_global_cor_heatmap))
output$glob_cor_heat_data <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
glob_cor_table()
})
# scatterplot -------------------------------------------------------------
## static
marker_simple_static <- callModule(marker, "marker_simple_scatter_static", clarion = reactive(fsh()$object))
marker_duo_static <- callModule(marker, "marker_duoscatter_static", clarion = reactive(fsh()$object))
scatter_static <- callModule(scatterPlot, "simple_scatter_static", clarion = reactive(fs()$object), marker.output = marker_simple_static, width = reactive(input$width_simple_scatter_static), height = reactive(input$height_simple_scatter_static), scale = reactive(input$scale_simple_scatter_static))
duo_static_1 <- callModule(scatterPlot, "duoscatter_static_1", clarion = reactive(fs()$object), marker.output = marker_duo_static, width = reactive(input$width_duoscatter_static), height = reactive(input$height_duoscatter_static), scale = reactive(input$scale_duoscatter_static))
duo_static_2 <- callModule(scatterPlot, "duoscatter_static_2", clarion = reactive(fs()$object), marker.output = marker_duo_static, width = reactive(input$width_duoscatter_static), height = reactive(input$height_duoscatter_static), scale = reactive(input$scale_duoscatter_static))
output$simple_scatter_static_table <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
scatter_static()
})
output$duoscatter_static_table_1 <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
duo_static_1()
})
output$duoscatter_static_table_2 <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
duo_static_2()
})
## interactive
marker_simple_interactive <- callModule(marker, "marker_simple_scatter_interactive", clarion = reactive(fs()$object))
marker_duo_interactive <- callModule(marker, "marker_duoscatter_interactive", clarion = reactive(fs()$object))
scatter_interactive <- callModule(scatterPlot, "simple_scatter_interactive", clarion = reactive(fs()$object), marker.output = marker_simple_interactive, plot.method = "interactive", width = reactive(input$width_simple_scatter_interactive), height = reactive(input$height_simple_scatter_interactive), scale = reactive(input$scale_simple_scatter_interactive))
duo_interactive_1 <- callModule(scatterPlot, "duoscatter_interactive_1", clarion = reactive(fs()$object), marker.output = marker_duo_interactive, plot.method = "interactive", width = reactive(input$width_duoscatter_interactive), height = reactive(input$height_duoscatter_interactive), scale = reactive(input$scale_duoscatter_interactive))
duo_interactive_2 <- callModule(scatterPlot, "duoscatter_interactive_2", clarion = reactive(fs()$object), marker.output = marker_duo_interactive, plot.method = "interactive", width = reactive(input$width_duoscatter_interactive), height = reactive(input$height_duoscatter_interactive), scale = reactive(input$scale_duoscatter_interactive))
output$simple_scatter_interactive_table <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
scatter_interactive()
})
output$duoscatter_interactive_table_1 <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
duo_interactive_1()
})
output$duoscatter_interactive_table_2 <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
duo_interactive_2()
})
# heatmap -----------------------------------------------------------------
## static
heatmap_static_table <- callModule(heatmap, "heatmap_static", clarion = reactive(fs()$object), plot.method = "static", width = reactive(input$width_heatmap_static), height = reactive(input$height_heatmap_static), scale = reactive(input$scale_heatmap_static))
output$heatmap_static_table <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
heatmap_static_table()
})
## interactive
heatmap_interactive_table <- callModule(heatmap, "heatmap_interactive", clarion = reactive(fs()$object), plot.method = "interactive", width = reactive(input$width_heatmap_interactive), height = reactive(input$height_heatmap_interactive), scale = reactive(input$scale_heatmap_interactive))
output$heatmap_interactive_table <- renderDataTable(options = list(pageLength = 10, scrollX = TRUE), {
heatmap_interactive_table()
})
}
# Run the application
shinyApp(ui = ui, server = server)