tabPanel("Biomarker",
br(),
sidebarLayout(
sidebarPanel(
br(),
selectizeInput('taxl_biomarker', 'Taxonomy Level', choices = tax.name,
selected='genus'),
selectInput("select_target_condition_biomarker", "Select Target Condition:",
covariates.two.levels),
numericInput("num.cv.nfolds", "Number of CV nfolds", value = 3, max = 20, min = 3),
numericInput("num.biomarker.run", "Number of CV repeats", value = 3, max = 100, min = 3),
numericInput("percent_top_biomarker", "Top biomarker proportion", value = 0.2, max = 1, min = 0.01),
selectInput("select_model_biomarker", "Select Model", c("logistic regression", "random forest")
),
helpText("Note: we recommend to use this section only when sample size is larger than 100.
Smaller dataset might be biased to imbalanced class in split folds."),
withBusyIndicatorUI(
actionButton("goButtonBiomarker",
"Run",
class = "btn-primary")
),
width=3
),
mainPanel(
tabsetPanel(
tabPanel("Biomarker",
br(),
tableOutput("biomarker_list")
),
tabPanel("Importance plot",
br(),
plotOutput("importance_plot",height=300)
),
tabPanel("CV ROC plot",
br(),
plotOutput("roc_plot")
)
), width=9
)
)
)
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