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methods: Allow to optimize for comparison genes

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This commit is contained in:
Elias Projahn 2022-01-25 13:05:04 +01:00
parent 11c125465d
commit 2faaeb869a
2 changed files with 22 additions and 8 deletions
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28
R/methods.R
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@ -2,14 +2,22 @@
methods_ui <- function(id) {
verticalLayout(
h3("Methods"),
selectInput(
NS(id, "optimization_genes"),
"Genes to optimize for",
choices = list(
"Reference genes" = "reference",
"Comparison genes" = "comparison"
)
),
selectInput(
NS(id, "optimization_target"),
"Optimization target",
choices = list(
"Mean rank of reference genes" = "mean",
"Median rank of reference genes" = "median",
"First rank of reference genes" = "min",
"Last rank of reference genes" = "max",
"Mean rank" = "mean",
"Median rank" = "median",
"First rank" = "min",
"Last rank" = "max",
"Customize weights" = "custom"
)
),
@ -41,7 +49,7 @@ methods_ui <- function(id) {
# @param analysis The reactive containing the results to be weighted.
#
# @return A reactive containing the weighted results.
methods_server <- function(id, analysis) {
methods_server <- function(id, analysis, comparison_gene_ids) {
moduleServer(id, function(input, output, session) {
# Observe each method's enable button and synchronise the slider state.
lapply(methods, function(method) {
@ -65,7 +73,13 @@ methods_server <- function(id, analysis) {
analysis <- analysis()
weights <- NULL
if (input$optimization_target == "custom") {
gene_ids <- if (input$optimization_genes == "comparison") {
comparison_gene_ids()
} else {
analysis$preset$reference_gene_ids
}
if (length(gene_ids) < 1 | input$optimization_target == "custom") {
for (method in methods) {
if (input[[method$id]]) {
weight <- input[[sprintf("%s_weight", method$id)]]
@ -87,7 +101,7 @@ methods_server <- function(id, analysis) {
weights <- geposan::optimal_weights(
analysis,
included_methods,
analysis$preset$reference_gene_ids,
gene_ids,
target = input$optimization_target
)

2
R/server.R
View file

@ -31,7 +31,7 @@ server <- function(input, output, session) {
})
# Rank the results.
ranking <- methods_server("methods", analysis)
ranking <- methods_server("methods", analysis, comparison_gene_ids)
# Add gene information to the results.
results <- reactive({