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#' scTHI_plotCluster
#'
#' Graphs the output of scTHI_runTsne, labeling cells by clusters.
#' @param scTHIresult scTHI object.
#' @param cexPoint Set the point size.
#' @param legendPos Character string to custom the legend position.
#' @examples
#' library(scTHI.data)
#' data(scExample)
#' result <- scTHI_score(scExample,
#' cellCusterA = colnames(scExample)[1:30],
#' cellCusterB = colnames(scExample)[31:100],
#' cellCusterAName = "ClusterA",
#' cellCusterBName = "ClusterB", filterCutoff = 0,
#' pvalueCutoff = 1, nPermu = 100, ncore = 8)
#' result <- scTHI_runTsne(result)
#' scTHI_plotCluster(result)
#' @return None
#' @export
#'
#' scTHI_plotCluster
scTHI_plotCluster <- function(scTHIresult,
cexPoint = 0.8,
legendPos = c(
"topleft", "topright",
"bottomright", "bottomleft"
)) {
tsneData <- scTHIresult$tsneData
legendPos <- match.arg(legendPos)
nCluster <- length(scTHIresult) - 3
ggplot_colors <- function(n) {
hues <- seq(15, 375, length = n + 1)
hcl(h = hues, l = 65, c = 100)[1:n]
}
Colors <- ggplot_colors(n = nCluster)
names(Colors) <- names(scTHIresult)[4:length(scTHIresult)]
ClusterColors <- rep("gray80", nrow(tsneData))
names(ClusterColors) <- rownames(tsneData)
ClusterColors[scTHIresult[[names(Colors)[1]]]] <- Colors[1]
ClusterColors[scTHIresult[[names(Colors)[2]]]] <- Colors[2]
plot(
tsneData[, 1:2],
pch = 16,
cex = cexPoint,
col = ClusterColors[rownames(tsneData)],
main = "",
xlab = "tSNE 1",
ylab = "tSNE 2"
)
legend(
legendPos,
inset = .02,
legend = names(Colors),
col = Colors,
cex = 1,
pch = 15,
box.lty = 0,
bg = "transparent"
)
}
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