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Move optimization to preset editor
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parent
0d1070cc19
commit
d2d1e09858
2 changed files with 38 additions and 42 deletions
65
R/methods.R
65
R/methods.R
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@ -23,18 +23,9 @@ methods_ui <- function(id) {
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)
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)
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}),
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radioButtons(
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NS(id, "target"),
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"Optimization target",
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choices = list(
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"Mean rank of reference genes" = "mean",
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"First rank of reference genes" = "min",
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"Last rank of reference genes" = "max"
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)
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),
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actionButton(
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NS(id, "optimize_button"),
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"Optimize weights",
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NS(id, "reset_button"),
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"Reset weights",
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class = "btn-primary"
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)
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)
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@ -47,33 +38,6 @@ methods_ui <- function(id) {
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# @return A reactive containing the weighted results.
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methods_server <- function(id, analysis) {
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moduleServer(id, function(input, output, session) {
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observeEvent(input$optimize_button, {
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analysis <- analysis()
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method_ids <- NULL
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# Only include activated methods.
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for (method in methods) {
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if (input[[method$id]]) {
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method_ids <- c(method_ids, method$id)
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}
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}
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weights <- geposan::optimal_weights(
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analysis,
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method_ids,
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analysis$preset$reference_gene_ids,
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target = input$target
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)
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for (method_id in method_ids) {
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updateSliderInput(
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session,
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sprintf("%s_weight", method_id),
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value = weights[[method_id]]
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)
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}
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})
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# Observe each method's enable button and synchronise the slider state.
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lapply(methods, function(method) {
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observeEvent(input[[method$id]],
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@ -84,9 +48,30 @@ methods_server <- function(id, analysis) {
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)
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})
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reactive({
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# Take the actual weights from the sliders.
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observeEvent(
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{ # nolint
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analysis()
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input$reset_button
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},
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{ # nolint
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for (method in methods) {
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updateCheckboxInput(
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session,
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method$id,
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value = TRUE
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)
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updateSliderInput(
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session,
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sprintf("%s_weight", method$id),
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value = analysis()$weights[[method$id]]
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)
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}
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},
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ignoreNULL = FALSE
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)
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reactive({
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weights <- NULL
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for (method in methods) {
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