setControlGates-methods: Create control gates for a flowPlate

In plateCore: Statistical tools and data structures for plate-based flow cytometry

Description

A function to estimate the threshold between positive and negative cells. This threshold corresponds to a one-dimensional gate, and cells above the gate are considered positive. The default value of numMads=5 generally works well on the linear scale, but will need to be adjusted for transformed data. If each well contains a large number of events for the cell type of interest (>1000), then using the 99.5th quantile usually gives similar values.

Usage

setControlGates(data, gateType, threshType="MAD", numMads=5, isoquantile=.995, ...)

Arguments

data	A flowPlate
gateType	The type of gate to be set. Currently only "Negative.Control" gates are supported.
threshType	Values can be either "MAD", for median absolute deviation based gating, or "isoQuant" for quantile based gating.
numMads	Number of median absolute deviations above the median to set the initial gate.
isoquantile	Quantile setting for "isoQuant" threshType.
...	optional arguments.

Value

Returns a flowPlate

Author(s)

Errol Strain

Examples

library(plateCore)
data(plateCore)

## Get the lymphocytes
rectGate <- rectangleGate("FSC-H"=c(300,700),"SSC-H"=c(50,400))
pbmcPlate <- Subset(pbmcPlate, rectGate)

# Create a flowPlate from the sample data in plateCore
fp <- flowPlate(pbmcPlate,wellAnnotation,plateName="P1")

# Create a set of negative control gates and then apply them
fp <- setControlGates(fp,gateType="Negative.Control")

# There should now be a Negative.Control.Gate column in wellAnnotation
head(wellAnnotation(fp))

plateCore documentation built on May 6, 2019, 2:41 a.m.