Unmix Using Weighted Least Squares

Source: R/unmix_wls.R

This function performs unmixing of raw data using weighted least squares, AKA WLS, based on the provided spectra. Weighting is by channel power.

unmix.wls(raw.data, spectra, weights = NULL)

Arguments

raw.data

Expression data from raw fcs files. Cells in rows and detectors in columns. Columns should be fluorescent data only and must match the columns in spectra.

spectra

Spectral signatures of fluorophores, normalized between 0 and 1, with fluorophores in rows and detectors in columns.

weights

Optional numeric vector of weights, one per fluorescent detector. Default is NULL, in which case weighting will be done by channel means.

Value

A matrix containing unnmixed data with cells in rows and fluorophores in columns.