getCellGMeans: getCellGMeans

In adam2o1o/treekoR: Cytometry Cluster Hierarchy and Cellular-to-phenotype Associations

getCellGMeans

Description

getCellGMeans

Usage

getCellGMeans(phylo, exprs, clusters, samples, classes)

Arguments

phylo	a phylogram with tip.labels corresponding to cell types/cluster contained in 'clusters' vector
exprs	a dataframe containing single cell expression data
clusters	a vector representing the cell type or cluster of each cell (can be character or numeric). If numeric, cluster names need to be consecutive starting from 1.
samples	a vector identifying the patient each cell belongs to
classes	a vector containing the patient outcome/class each cell belongs to

Value

a dataframe containing proportions calculated for each sample

Examples

library(SingleCellExperiment)
data(COVIDSampleData)

sce <- DeBiasi_COVID_CD8_samp
exprs <- t(assay(sce, "exprs"))
clusters <- colData(sce)$cluster_id
classes <- colData(sce)$condition
samples <- colData(sce)$sample_id

clust_tree <- getClusterTree(exprs,
                             clusters,
                             hierarchy_method="hopach")

means_df <- getCellGMeans(clust_tree$clust_tree,
                        exprs=exprs,
                        clusters=clusters,
                        samples=samples,
                        classes=classes)

adam2o1o/treekoR documentation built on June 2, 2023, 11:42 p.m.