Bin sample using flowFP binning

Description

Bin sample using flowFP binning

Arguments

object

flowSample to bin

n.bins=128

number of bins to use. This should be a power of 2, and will be rounded down to the nearest power of 2 if not.

snow.cluster=NULL

Optional snow cluster to use for parallel execution.

dequantize=T

If TRUE, adds a small (region of 1e-8) value to flow data to help break ties when binning.

Value

a BinnedFlowSample

Examples

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data(amlsample)
normed.sample <- quantileNormalise(aml.sample)
res <- flowFPBin(normed.sample)