geposan/R/plots.R

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2021-11-06 13:03:36 +01:00
#' Plot a ranking as a scatter plot of scores.
#'
#' This function requires the package `plotly`.
#'
#' @param ranking The ranking to visualize.
#' @param gene_sets A list of gene sets (containing vectors of gene IDs) that
#' will be highlighted in the plot.
#' @param labels Labels for the gene sets. This is required if gene sets are
#' given and has to have the same length.
#'
#' @seealso ranking()
#'
#' @export
plot_scores <- function(ranking, gene_sets = NULL, labels = NULL) {
if (!requireNamespace("plotly", quietly = TRUE)) {
stop("Please install \"plotly\" to use this function.")
}
plot <- plotly::plot_ly() |>
plotly::add_trace(
data = ranking,
x = ~rank,
y = ~score,
color = "All genes",
type = "scatter",
mode = "markers",
hoverinfo = "skip"
) |>
plotly::layout(
xaxis = list(title = "Rank"),
yaxis = list(title = "Score")
)
if (length(gene_sets) > 0) {
# Take out the genes to be highlighted.
gene_set_data <- ranking[gene %chin% unlist(gene_sets)]
# Add labels for each gene set.
for (i in seq_along(gene_sets)) {
gene_set_data[gene %chin% gene_sets[[i]], label := labels[i]]
}
# Include gene information which will be used for labeling
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gene_set_data <- merge(
gene_set_data,
geposan::genes,
by.x = "gene",
by.y = "id"
)
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plot <- plot |> plotly::add_trace(
data = gene_set_data,
x = ~rank,
y = ~score,
color = ~label,
text = ~name,
type = "scatter",
mode = "markers",
marker = list(size = 20)
)
}
plot
}
#' Visualize a ranking by comparing gene sets in a boxplot.
#'
#' This function requires the package `plotly`.
#'
#' @param ranking The ranking to visualize.
#' @param gene_sets A list of gene sets (containing vectors of gene IDs) that
#' will be shown as separate boxes.
#' @param labels Labels for the gene sets. This is required if gene sets are
#' given and has to have the same length.
#'
#' @seealso ranking()
#'
#' @export
plot_boxplot <- function(ranking, gene_sets = NULL, labels = NULL) {
if (!requireNamespace("plotly", quietly = TRUE)) {
stop("Please install \"plotly\" to use this function.")
}
data <- copy(ranking)
# Add labels for each gene set.
for (i in seq_along(gene_sets)) {
data[gene %chin% gene_sets[[i]], label := labels[i]]
}
# Label the other genes.
data[!gene %chin% unlist(gene_sets), label := "Other genes"]
plotly::plot_ly(
data = data,
y = ~score,
color = ~label,
type = "box"
)
}