This module adds quality flags, filters by genes and/or samples,
normalizes AnyHermesData
objects and provides interactive plots
for RNA-seq gene expression quality control.
Usage
tm_g_quality(
label,
mae_name,
exclude_assays = character(),
pre_output = NULL,
post_output = NULL
)
ui_g_quality(id, datasets, mae_name, pre_output, post_output)
srv_g_quality(id, datasets, mae_name, exclude_assays)
sample_tm_g_quality()
Arguments
- label
(
string
)
menu item label of the module in the teal app.- mae_name
(
string
)
name of the MAE data used in the teal module.- exclude_assays
(
character
)
names of the assays which should not be included in choices in the teal module.- pre_output
(
shiny.tag
orNULL
)
placed before the output to put the output into context (for example a title).- post_output
(
shiny.tag
orNULL
)
placed after the output to put the output into context (for example theshiny::helpText()
elements can be useful).- id
(
string
) the shiny module id.- datasets
(
Datasets
)
teal specific argument which is automatically passed to the UI and server functions, holding all the data sets provided in the app initialization.
Functions
ui_g_quality
: sets up the user interface.srv_g_quality
: sets up the server with reactive graphs.sample_tm_g_quality
: sample module function.
Examples
mae <- hermes::multi_assay_experiment
mae_data <- dataset("MAE", mae)
data <- teal_data(mae_data)
app <- init(
data = data,
modules = modules(
tm_g_quality(
label = "Quality Control",
mae_name = "MAE"
)
)
)
if (interactive()) {
shinyApp(app$ui, app$server)
}
# Alternatively you can run the sample module with this function call:
if (interactive()) {
sample_tm_g_quality()
}