Nothing
ui.combo.sg.pancan.analysis <- function(id) {
ns <- NS(id)
fluidPage(
titlePanel("Combo: Single Gene Pan-Cancer Analysis"),
sidebarLayout(
sidebarPanel = sidebarPanel(
## input gene
shinyWidgets::searchInput(
inputId = ns("Pancan_search"),
label = NULL,
btnSearch = icon("search"),
btnReset = icon("remove"),
placeholder = "Enter a gene symbol to show its pan-can distribution, e.g. TP53",
width = "100%"
),
selectInput(
inputId = ns("immune_sig"), "Select the immune signature source", selected = "Cibersort",
choices = c("Yasin", "Wolf", "Attractors", "ICR", "c7atoms", "Bindea", "Cibersort")
),
width = 3
),
mainPanel = mainPanel(
## pancan distribution
plotOutput(ns("gene_pancan_dist")),
## uni-cox survival analysis
plotOutput(ns("unicox_gene_tree")),
## heatmap: correlation between gene and immune signatures
plotOutput(ns("hm_gene_immune_cor")),
width = 9
)
)
)
}
server.combo.sg.pancan.analysis <- function(input, output, session) {
observeEvent(input$Pancan_search, {
if (nchar(input$Pancan_search) >= 1) {
output$gene_pancan_dist <- renderPlot({
vis_toil_TvsN(
Gene = input$Pancan_search,
Mode = "Boxplot",
Method = "wilcox.test",
Show.P.value = TRUE,
Show.P.label = TRUE,
include.Tumor.only = TRUE
)
})
output$unicox_gene_tree <- renderPlot({
vis_unicox_tree(
Gene = input$Pancan_search
)
})
output$hm_gene_immune_cor <- renderPlot({
vis_gene_immune_cor(
Gene = input$Pancan_search,
Immune_sig_type = input$immune_sig
)
})
}
})
}
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