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Add overview
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5 changed files with 72 additions and 47 deletions
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@ -15,7 +15,7 @@ Description: This package contains precomputed data including comparisons in
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License: AGPL (>= 3)
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Encoding: UTF-8
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.1.2
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RoxygenNote: 7.2.0
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Depends:
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R (>= 2.10)
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LazyData: true
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66
R/plots.R
Normal file
66
R/plots.R
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@ -0,0 +1,66 @@
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#' Create a plot showing an overview over the provided ranking.
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#'
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#' @param ranked_data The ranking to visualize.
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#' @param sample_proportion Proportion of rows to use as the shown sample.
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#'
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#' @return A `plotly` figure.
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#' @noRd
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overview_plot <- function(ranked_data, sample_proportion = 0.05) {
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plotly::plot_ly() |>
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plotly::add_lines(
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data = ranked_data[sample(
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nrow(ranked_data),
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sample_proportion * nrow(ranked_data)
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)],
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x = ~rank,
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y = ~score
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) |>
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plotly::layout(
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xaxis = list(title = "Ranks"),
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yaxis = list(title = "Score")
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)
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}
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#' Create plot showing the distribution of scores using `plotly`.
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#'
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#' @param ranked_data Data on genes with precomputed ranks.
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#' @param ranks How may ranks the x-axis should include. If this parameter is
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#' `NULL`, all ranks will be shown.
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#'
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#' @return A `plotly` figure for rendering.
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#' @noRd
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scores_plot <- function(ranked_data, ranks = 1000) {
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data <- if (is.null(ranks)) {
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ranked_data
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} else {
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ranked_data[1:ranks]
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}
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ranks_label <- if (is.null(ranks)) {
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"Ranks"
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} else {
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glue::glue("Ranks (1 to {ranks})")
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}
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plotly::plot_ly() |>
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plotly::add_markers(
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data = data,
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x = ~rank,
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y = ~score,
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text = ~hgnc_name,
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customdata = ~percentile,
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hovertemplate = paste0(
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"<b>%{text}</b><br>",
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"Rank: %{x}<br>",
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"Score: %{y:.2}<br>",
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"Percentile: %{customdata:.2%}",
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"<extra></extra>"
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)
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) |>
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plotly::layout(
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xaxis = list(title = ranks_label),
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yaxis = list(title = "Score"),
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clickmode = "event+select",
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dragmode = "select"
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)
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}
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45
R/server.R
45
R/server.R
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@ -25,6 +25,7 @@ server <- function(input, output) {
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data
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})
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output$overview_plot <- plotly::renderPlotly(overview_plot(ranked_data()))
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output$scores_plot <- plotly::renderPlotly(scores_plot(ranked_data()))
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output$selected_genes <- DT::renderDataTable({
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@ -40,50 +41,6 @@ server <- function(input, output) {
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})
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}
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#' Create plot showing the distribution of scores using `plotly`.
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#'
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#' @param ranked_data Data on genes with precomputed ranks.
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#' @param ranks How may ranks the x-axis should include. If this parameter is
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#' `NULL`, all ranks will be shown.
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#'
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#' @return A `plotly` figure for rendering.
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#' @noRd
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scores_plot <- function(ranked_data, ranks = 1000) {
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data <- if (is.null(ranks)) {
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ranked_data
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} else {
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ranked_data[1:ranks]
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}
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ranks_label <- if (is.null(ranks)) {
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"Ranks"
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} else {
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glue::glue("Ranks (1 to {ranks})")
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}
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plotly::plot_ly() |>
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plotly::add_markers(
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data = data,
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x = ~rank,
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y = ~score,
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text = ~hgnc_name,
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customdata = ~percentile,
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hovertemplate = paste0(
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"<b>%{text}</b><br>",
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"Rank: %{x}<br>",
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"Score: %{y:.2}<br>",
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"Percentile: %{customdata:.2%}",
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"<extra></extra>"
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)
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) |>
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plotly::layout(
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xaxis = list(title = ranks_label),
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yaxis = list(title = "Score"),
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clickmode = "event+select",
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dragmode = "select"
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)
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}
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#' Create a displayable data table from the gene results data.
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#' @noRd
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genes_table <- function(data) {
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3
R/ui.R
3
R/ui.R
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@ -90,6 +90,9 @@ ui <- function() {
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mainPanel(
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width = 9,
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h3("Distribution of scores"),
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h4("Overview"),
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plotly::plotlyOutput("overview_plot", height = "200px"),
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h4("Focus on top genes"),
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div(paste0(
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"Click or drag within the figure to select genes of ",
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"interest."
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@ -1,5 +1,4 @@
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#' Various things that should be imported into the package namespace.
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#'
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# Various things that should be imported into the package namespace.
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#' @importFrom data.table :=
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#' @importFrom data.table .BY
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#' @importFrom data.table .EACHI
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