make_cluster_phenobars: make_cluster_phenobars

In matei-ionita/Tailor: Gaussian mixture modeling for heavy-tailed distributions in Flow Cytometry data

Description

Visualize summary of cluster information, via boxplots showing means and standard deviations of mean fluorescence intensity. Only markers with at least one cutoff are displayed. The boxes are color-coded by mfi relative to the cutoff.

Usage

make_cluster_phenobars(tailor_obj, cluster_ids, cluster_names = NULL)

Arguments

tailor_obj	A tailor object, as obtained from tailor.learn.
cluster_ids	A list of cluster indices to visualize. For example, those deemed differentially expressed in case/controls by some statistical test.

Value

Boxplots summarizing means and standard deviations for selected clusters.

Examples

fileName <- system.file("extdata", "sampled_flowset_old.rda",
                       package = "Tailor")
load(fileName)
tailor_params <- flowCore::colnames(fs_old)[c(7:9, 11:22)]
tailor_obj <- tailor_learn(data = fs_old,
                          params = tailor_params,
                          mixture_components = 50)

make_cluster_phenobars(tailor_obj, cluster_ids = c(1,2))

matei-ionita/Tailor documentation built on Jan. 4, 2021, 11:47 a.m.