#' @title Find the Cells with the highest CNA signal
#' @description Find Cells in the top nth quantile for CNA Signal values
#' @param cna a matrix of cell rows by cell columns containing CNA values
#' @param cell.quantile calculate CNA measures including only top / "hotspot" cells according to their squared CNA values across all genes. Value between 0 and 1 denoting the quantile of cells to include.
#' @return cell names in the top nth quantile, where n is specified via <cell.quantile>
#' @rdname cnaHotspotCells
#' @export
cnaHotspotCells = function(cna, cell.quantile, gene.quantile = NULL) {
cna = as.matrix(cna)
stopifnot(is.numeric(cell.quantile))
if (!is.null(gene.quantile)) {
stopifnot(is.numeric(gene.quantile))
cna = cna[cnaHotspotGenes(cna, gene.quantile = gene.quantile), ]
}
msq = colMeans(cna^2)
names(msq)[msq >= quantile(msq, cell.quantile)]
}
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