customize_1D_mixtures: customize_1D_mixtures

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

Description

After visual inspection of 1D mixtures, manually specify the number of mixture components to learn for some of the markers.

Usage

customize_1D_mixtures(
  data,
  to_customize,
  mixtures_1D,
  sample_fraction = 0.2,
  verbose = FALSE
)

Arguments

data	A flowSet, flowFrame or a matrix containing events along the rows, markers along columns.
to_customize	A named list, whose names are markers, and values are the number of mixture components to learn for each marker.
mixtures_1D	1D mixture models, obtained from get_1D_mixtures.
sample_fraction	A number between 0 and 1: the fraction of data points used in the calculation of 1D mixture components, to improve runtime.
verbose	Boolean flag; if true, outputs timing and milestone information.

Value

Updated version of mixtures_1D.

Examples

fileName <- system.file("extdata", "sampled_flowset_old.rda",
                        package = "Tailor")
load(fileName)
tailor_params <- flowCore::colnames(fs_old)[c(7:9, 11:22)]
mixtures_1D <- get_1D_mixtures(fs_old, tailor_params)

to_customize <- list("CD127BV421" = 2)
mixtures_1D <- customize_1D_mixtures(fs_old, to_customize,
                                     mixtures_1D)

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