dot-renormaliseWell: Normalise a well in both channels and then transform it back...

In CRUKMI-ComputationalBiology/twoddpcr: Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules

Description

Normalise a well in both channels and then transform it back to the original (combined) scale.

Usage

.renormaliseWell(allDf, well, combinedCentres, indivCentres1, indivCentres2)

Arguments

allDf	A list of data frames, where each one corresponds to a well's droplet amplitudes.
well	The name or number of the well to normalise.
combinedCentres	A data frame of the combined (average) centres of the non-normalised wells.
indivCentres1	A data frame of centres corresponding to channel 1.
indivCentres2	A data frame of centres corresponding to channel 2.

Value

A list of data frames with the rescaled amplitudes in both channels.

Author(s)

Anthony Chiu, [e-mail]

CRUKMI-ComputationalBiology/twoddpcr documentation built on Feb. 14, 2021, 9:18 p.m.