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plots: Move rank plot and add boxplot
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6 changed files with 143 additions and 77 deletions
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@ -1,11 +1,12 @@
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# Generated by roxygen2: do not edit by hand
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S3method(plot,geposan_ranking)
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S3method(print,geposan_comparison)
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S3method(print,geposan_preset)
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export(analyze)
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export(compare)
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export(optimal_weights)
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export(plot_boxplot)
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export(plot_scores)
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export(preset)
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export(ranking)
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import(data.table)
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95
R/plots.R
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95
R/plots.R
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@ -0,0 +1,95 @@
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#' Plot a ranking as a scatter plot of scores.
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#'
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#' This function requires the package `plotly`.
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#'
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#' @param ranking The ranking to visualize.
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#' @param gene_sets A list of gene sets (containing vectors of gene IDs) that
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#' will be highlighted in the plot.
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#' @param labels Labels for the gene sets. This is required if gene sets are
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#' given and has to have the same length.
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#'
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#' @seealso ranking()
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#'
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#' @export
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plot_scores <- function(ranking, gene_sets = NULL, labels = NULL) {
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if (!requireNamespace("plotly", quietly = TRUE)) {
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stop("Please install \"plotly\" to use this function.")
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}
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plot <- plotly::plot_ly() |>
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plotly::add_trace(
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data = ranking,
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x = ~rank,
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y = ~score,
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color = "All genes",
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type = "scatter",
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mode = "markers",
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hoverinfo = "skip"
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) |>
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plotly::layout(
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xaxis = list(title = "Rank"),
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yaxis = list(title = "Score")
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)
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if (length(gene_sets) > 0) {
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# Take out the genes to be highlighted.
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gene_set_data <- ranking[gene %chin% unlist(gene_sets)]
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# Add labels for each gene set.
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for (i in seq_along(gene_sets)) {
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gene_set_data[gene %chin% gene_sets[[i]], label := labels[i]]
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}
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# Include gene information which will be used for labeling
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gene_set_data <- merge(gene_set_data, genes, by.x = "gene", by.y = "id")
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plot <- plot |> plotly::add_trace(
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data = gene_set_data,
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x = ~rank,
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y = ~score,
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color = ~label,
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text = ~name,
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type = "scatter",
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mode = "markers",
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marker = list(size = 20)
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)
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}
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plot
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}
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#' Visualize a ranking by comparing gene sets in a boxplot.
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#'
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#' This function requires the package `plotly`.
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#'
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#' @param ranking The ranking to visualize.
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#' @param gene_sets A list of gene sets (containing vectors of gene IDs) that
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#' will be shown as separate boxes.
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#' @param labels Labels for the gene sets. This is required if gene sets are
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#' given and has to have the same length.
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#'
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#' @seealso ranking()
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#'
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#' @export
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plot_boxplot <- function(ranking, gene_sets = NULL, labels = NULL) {
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if (!requireNamespace("plotly", quietly = TRUE)) {
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stop("Please install \"plotly\" to use this function.")
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}
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data <- copy(ranking)
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# Add labels for each gene set.
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for (i in seq_along(gene_sets)) {
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data[gene %chin% gene_sets[[i]], label := labels[i]]
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}
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# Label the other genes.
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data[!gene %chin% unlist(gene_sets), label := "Other genes"]
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plotly::plot_ly(
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data = data,
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y = ~score,
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color = ~label,
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type = "box"
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)
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}
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56
R/ranking.R
56
R/ranking.R
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@ -37,62 +37,6 @@ ranking <- function(analysis, weights) {
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)
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}
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#' S3 method for plotting a ranking.
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#'
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#' @param gene_sets A list of gene sets (containing vectors of gene IDs) that
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#' will be highlighted in the plot.
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#' @param labels Labels for the gene sets.
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#'
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#' @seealso ranking()
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#'
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#' @export
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plot.geposan_ranking <- function(ranking, gene_sets = NULL, labels = NULL) {
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if (!requireNamespace("plotly", quietly = TRUE)) {
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stop("Please install \"plotly\" to use this function.")
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}
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plot <- plotly::plot_ly() |>
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plotly::add_trace(
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data = ranking,
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x = ~rank,
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y = ~score,
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color = "All genes",
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type = "scatter",
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mode = "markers",
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hoverinfo = "skip"
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) |>
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plotly::layout(
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xaxis = list(title = "Rank"),
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yaxis = list(title = "Score")
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)
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if (length(gene_sets) > 0) {
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# Take out the genes to be highlighted.
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gene_set_data <- ranking[gene %chin% unlist(gene_sets)]
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# Add labels for each gene set.
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for (i in seq_along(gene_sets)) {
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gene_set_data[gene %chin% gene_sets[[i]], label := labels[i]]
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}
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# Include gene information which will be used for laebling
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gene_set_data <- merge(gene_set_data, genes, by.x = "gene", by.y = "id")
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plot <- plot |> plotly::add_trace(
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data = gene_set_data,
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x = ~rank,
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y = ~score,
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color = ~label,
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text = ~name,
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type = "scatter",
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mode = "markers",
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marker = list(size = 20)
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)
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}
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plot
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}
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#' Find the best weights to rank the results.
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#'
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#' This function finds the optimal parameters to [ranking()] that result in the
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@ -1,20 +0,0 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/ranking.R
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\name{plot.geposan_ranking}
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\alias{plot.geposan_ranking}
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\title{S3 method for plotting a ranking.}
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\usage{
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\method{plot}{geposan_ranking}(ranking, gene_sets = NULL, labels = NULL)
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}
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\arguments{
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\item{gene_sets}{A list of gene sets (containing vectors of gene IDs) that
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will be highlighted in the plot.}
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\item{labels}{Labels for the gene sets.}
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}
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\description{
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S3 method for plotting a ranking.
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}
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\seealso{
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ranking()
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}
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23
man/plot_boxplot.Rd
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23
man/plot_boxplot.Rd
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@ -0,0 +1,23 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/plots.R
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\name{plot_boxplot}
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\alias{plot_boxplot}
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\title{Visualize a ranking by comparing gene sets in a boxplot.}
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\usage{
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plot_boxplot(ranking, gene_sets = NULL, labels = NULL)
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}
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\arguments{
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\item{ranking}{The ranking to visualize.}
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\item{gene_sets}{A list of gene sets (containing vectors of gene IDs) that
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will be shown as separate boxes.}
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\item{labels}{Labels for the gene sets. This is required if gene sets are
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given and has to have the same length.}
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}
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\description{
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This function requires the package \code{plotly}.
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}
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\seealso{
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ranking()
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}
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23
man/plot_scores.Rd
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23
man/plot_scores.Rd
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@ -0,0 +1,23 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/plots.R
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\name{plot_scores}
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\alias{plot_scores}
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\title{Plot a ranking as a scatter plot of scores.}
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\usage{
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plot_scores(ranking, gene_sets = NULL, labels = NULL)
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}
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\arguments{
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\item{ranking}{The ranking to visualize.}
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\item{gene_sets}{A list of gene sets (containing vectors of gene IDs) that
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will be highlighted in the plot.}
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\item{labels}{Labels for the gene sets. This is required if gene sets are
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given and has to have the same length.}
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}
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\description{
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This function requires the package \code{plotly}.
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}
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\seealso{
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ranking()
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}
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