Nothing
tabPanel("Differential Analysis",
tabsetPanel(
tabPanel("Differential Abundance",
selectInput("DAmethod", "Select method",
c("DESeq2", "edgeR")),
conditionalPanel(condition = "input.DAmethod == 'DESeq2'",
sidebarLayout(
sidebarPanel(
selectizeInput('taxl.da', 'Taxonomy Level', choices = tax.name,
selected='no rank'),
selectizeInput('da.condition', 'Select condition',
choices = covariates),
conditionalPanel(condition = "output.da_condition_type == 'multiple'",
helpText("Please select 2 levels to compare"),
uiOutput("da_condition_options")
),
selectizeInput('da.condition.covariate', 'Select (multiple) covariates',
choices = covariates, multiple = TRUE),
helpText("Continuous covariates would be automatically cut into factors with 3 levels."),
numericInput('da.count.cutoff', 'Minumum count cut-off', 500,
min = 1, max = 5000),
numericInput('da.padj.cutoff', 'Choose padj cut-off', 0.5,
min = 1e-100, max = 1),
actionButton("run_deseq2", "Run"),
width=3
),
mainPanel(
tabPanel("DeSeq2",
DT::dataTableOutput("DeSeq2Table.new")
), width=9
)
)
),
conditionalPanel(condition = "input.DAmethod == 'edgeR'",
sidebarLayout(
sidebarPanel(
selectizeInput('taxl.edger', 'Taxonomy Level', choices = tax.name,
selected='no rank'),
selectizeInput('edger.condition', 'Select condition',
choices = covariates.colorbar),
conditionalPanel(condition = "output.edger_condition_type == 'multiple'",
helpText("Please select 2 levels to compare"),
uiOutput("edger_condition_options")
),
helpText("Continuous covariates would be automatically cut into factors with 3 levels."),
numericInput('edger.padj.cutoff', 'Choose padj cut-off', 0.5,
min = 1e-100, max = 1),
actionButton("run_edgeR", "Run"),
width=3
),
mainPanel(
tabPanel("edgeR",
DT::dataTableOutput("edgerTable.new"),
downloadButton("download_edger_tb", "Download this table")
), width=9
)
)
)
),
tabPanel("Statistical Test",
sidebarLayout(
sidebarPanel(
selectizeInput('taxl.pa', 'Taxonomy Level', choices = tax.name,
selected='no rank'),
selectizeInput('pa.condition', 'Select condition',
choices = covariates.colorbar),
conditionalPanel(condition = "output.pa_condition_type == 'multiple'",
helpText("Please select 2 levels to compare"),
uiOutput("pa_condition_options")
),
numericInput('pa.count.cutoff', 'Minumum count cut-off', 500,
min = 1, max = 5000),
numericInput('pa.padj.cutoff', 'Choose padj cut-off', 0.5,
min = 1e-100, max = 1),
actionButton("run_stat", "Run"),
width=3
),
mainPanel(
tabPanel("Test output",
br(),
selectInput('pa_method', 'Select test method',
choices = c("Fisher Exact Test", "Chi-squared Test", "Mann-Whitney Test")),
conditionalPanel(condition = "input.pa_method == 'Mann-Whitney Test'",
selectInput('pa_mann_data_type', 'Select data type', choices = c("read count", "log10 CPM", "RA"))),
DT::dataTableOutput("pa.test"),
downloadButton("download_pa_test", "Download this table")
), width=9
)
)
)
)
)
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