#' Plot Correlation Heatmap
#'
#' This function calculates a correlation matrix based on feature expression per
#' sample.
#'
#' @name plotCorrelationHeatmap
#' @family Quality Control Functions
#' @author Michael Steinbaugh
#'
#' @importFrom bcbioBase plotCorrelationHeatmap
#'
#' @inherit bcbioBase::plotCorrelationHeatmap
#'
#' @inheritParams general
#' @param ... Passthrough arguments to `SummarizedExperiment` method.
#'
#' @seealso
#' - `help("plotCorrelationHeatmap", "bcbioBase")`.
#' - `findMethod("plotCorrelationHeatmap", "SummarizedExperiment")`.
#'
#' @examples
#' # bcbioRNASeq ====
#' # Pearson correlation
#' plotCorrelationHeatmap(bcb_small, method = "pearson")
#'
#' # Spearman correlation
#' plotCorrelationHeatmap(bcb_small, method = "spearman")
#'
#' # Inferno palette
#' plotCorrelationHeatmap(
#' bcb_small,
#' color = inferno,
#' legendColor = inferno
#' )
#'
#' # Default pheatmap palette
#' plotCorrelationHeatmap(
#' bcb_small,
#' color = NULL,
#' legendColor = NULL
#' )
NULL
# Methods ======================================================================
#' @rdname plotCorrelationHeatmap
#' @export
setMethod(
"plotCorrelationHeatmap",
signature("bcbioRNASeq"),
function(
object,
normalized = c("rlog", "vst", "tmm", "tpm"),
...
) {
validObject(object)
normalized <- match.arg(normalized)
counts <- counts(object, normalized = normalized)
# Coerce to RangedSummarizedExperiment
rse <- as(object, "RangedSummarizedExperiment")
assays(rse) <- list("assay" = counts)
validObject(rse)
plotCorrelationHeatmap(rse, ...)
}
)
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