compare_doublets_exp_obs: Tabulate expected and observed proportions of doublet types.

In Cleanet: Automated Doublet Detection and Classification for Cytometry Data

Tabulate expected and observed proportions of doublet types.

Description

Given compatible classifications of singlets and doublets, this function computes expected proportions of doublets as the product of the proportions of their components.

Usage

compare_doublets_exp_obs(doublet_clas, singlet_clas, cleanet_res)

Arguments

doublet_clas	An array giving a classification of the doublets, whose length must match the number of doublet events returned in cleanet_res.
singlet_clas	An array giving a classification of the singlets, whose length must match the number of singlet events returned in cleanet_res.
cleanet_res	The output of a call to the cleanet function.

Value

A data frame tabulating expected and observed proportions for each unique doublet type.

Examples

path <- system.file("extdata", "df_mdipa.csv", package="Cleanet")
df_mdipa <- read.csv(path, check.names=FALSE)
cols <- c("CD45", "CD123", "CD19", "CD11c", "CD16",
          "CD56", "CD294", "CD14", "CD3", "CD20",
          "CD66b", "CD38", "HLA-DR", "CD45RA",
          "DNA1", "DNA2")
cleanet_res <- cleanet(df_mdipa, cols, cofactor=5)
singlet_clas <- df_mdipa$label[which(cleanet_res$status!="Doublet")]
doublet_clas <- classify_doublets(cleanet_res, singlet_clas)
df_exp_obs <- compare_doublets_exp_obs(doublet_clas, singlet_clas, cleanet_res)

Cleanet documentation built on April 4, 2025, 12:17 a.m.