shinyPanelLabelCellType <- fluidPage(
tags$div(
class = "container",
h1("Label Cell Type"),
p("Currently only 'SingleR' method supported. ", style = "color: grey;"),
h5(tags$a(href = paste0(docs.artPath, "cell_type_labeling.html"),
"(help)", target = "_blank")),
panel(
fluidRow(
column(
width = 6,
selectInput("ctLabelMethod", "Method", c("SingleR"), "SingleR"),
),
column(
width = 6,
selectizeInput(
inputId = "ctLabelAssay",
label = "Select input matrix:",
choices = NULL,
selected = NULL,
multiple = FALSE,
options = NULL)
#uiOutput("ctLabelAssay"),
)
),
panel(
useShinyjs(),
# SingleR specific panel, in case adding other methods in the future.
p("SingleR works with a reference dataset where the cell type ",
"labeling is given. Given a reference dataset of samples ",
"(single-cell or bulk) with known labels, it assigns those labels ",
"to new cells from a test dataset based on similarities in their ",
"expression profiles.",
style = "color: grey;"),
fluidRow(
column(
width = 6,
selectInput("ctLabelRef", "Choose a reference",
choices = c("Human Primary Cell Atlas Data" = "hpca",
"Blueprint Encode Data" = "bpe",
"Muraro Pancreas Data" = "mp",
"Database Immune Cell Expression Data" = "dice",
"ImmGen Data" = "immgen",
"Mouse RNAseq Data" = "mouse",
"Zeisel Brain Data" = "zeisel")),
radioButtons("ctLabelFeatureType", "Feature type:",
c("symbol", "ensembl"), inline = TRUE),
),
column(
width = 6,
uiOutput("ctLabelLevelUI"),
# selectInput("ctLabelLevel", "Labeling level:",
# c("main", "fine", "ont"), "main"),
radioButtons("ctLabelBy", "Label by",
c("Each cell", "Clusters"), "Each cell", inline = TRUE),
)
),
conditionalPanel(
"input.ctLabelBy == 'Clusters'",
selectInput("ctLabelByCluster", "Use cluster label:", clusterChoice)
),
conditionalPanel(
"input.ctLabelRef == 'hpca'",
tags$a(href = "https://rdrr.io/github/LTLA/celldex/man/HumanPrimaryCellAtlasData.html",
"Detail about the reference dataset...", target = "_blank")
),
conditionalPanel(
"input.ctLabelRef == 'bpe'",
tags$a(href = "https://rdrr.io/github/LTLA/celldex/man/BlueprintEncodeData.html",
"Detail about the reference dataset...", target = "_blank")
),
conditionalPanel(
"input.ctLabelRef == 'mp'",
tags$a(href = "https://rdrr.io/github/LTLA/scRNAseq/man/MuraroPancreasData.html",
"Detail about the reference dataset...", target = "_blank")
),
conditionalPanel(
"input.ctLabelRef == 'dice'",
tags$a(href = "https://rdrr.io/github/LTLA/celldex/man/DatabaseImmuneCellExpressionData.html",
"Detail about the reference dataset...", target = "_blank")
),
conditionalPanel(
"input.ctLabelRef == 'immgen'",
tags$a(href = "https://rdrr.io/github/LTLA/celldex/man/ImmGenData.html",
"Detail about the reference dataset...", target = "_blank")
),
conditionalPanel(
"input.ctLabelRef == 'mouse'",
tags$a(href = "https://rdrr.io/github/LTLA/celldex/man/MouseRNAseqData.html",
"Detail about the reference dataset...", target = "_blank")
),
conditionalPanel(
"input.ctLabelRef == 'zeisel'",
tags$a(href = "https://rdrr.io/github/LTLA/scRNAseq/man/ZeiselBrainData.html",
"Detail about the reference dataset...", target = "_blank")
),
p("If users want to work with their customized reference dataset, ",
"please refer to SCTK's console function: runSingleR()",
style = "color: grey;")
),
actionButton("ctLabelRun", "Run")
)
)
)
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