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Faster solver for per-cell optimization workflow. Performs spectral unmixing using weighted least squares.

Usage

unmix.wls.fast(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

The weighting values for the detectors. No checks are performed in this function; unmix.wls should be used for most cases.

Value

Unmixed data with cells in rows and fluorophores in columns.