% Generated by roxygen2: do not edit by hand % Please edit documentation in R/visualise_features.R \name{visualiseExprs} \alias{visualiseExprs} \title{visualiseExprs} \usage{ visualiseExprs( sce, plot = c("boxplot", "violin", "jitter", "density", "pairwise"), altExp_name = c("none"), exprs_value = "logcounts", group_by = NULL, facet_by = NULL, feature_subset = NULL, cell_subset = NULL, n = NULL, threshold = NULL ) } \arguments{ \item{sce}{A singlecellexperiment object} \item{plot}{Type of plot, includes boxplot, violin, jitter, density, and pairwise. By default is boxplot} \item{altExp_name}{A character indicates which expression matrix is used. by default is none (i.e. RNA).} \item{exprs_value}{A character indicates which expression value in assayNames is used.} \item{group_by}{A character indicates how is the expression will be group in the plots (stored in colData).} \item{facet_by}{A character indicates how is the expression will be lay out panels in a grid in the plots (stored in colData).} \item{feature_subset}{A vector of characters indicates the subset of features that are used for visualisation} \item{cell_subset}{A vector of characters indicates the subset of cells that are used for visualisation} \item{n}{A numeric indicates the top expressed features to show.} \item{threshold}{Thresholds of high expresion for features (only is used for pairwise plot).} } \value{ A ggplot to visualise te features distribution } \description{ A function to visualise the features distribtuion } \examples{ data(sce_control_subset) visualiseExprs(sce_control_subset, plot = "boxplot", group_by = "SNF_W_louvain", feature_subset = c("hg19_CD8A")) visualiseExprs(sce_control_subset, plot = "density", altExp_name = "ADT", group_by = "SNF_W_louvain", feature_subset = c("CD8", "CD4")) }