counts-methods: Method for getting fingerprint data.

In rogerswt/flowFP: Fingerprinting for Flow Cytometry

Description

These read-only methods retrieve data out of a fingerprint in three different transformations: “raw”, “normalized”, “log2norm”.

Details

Transformations: There are three representations of the data that the user has access to, "raw" is the number of events in each bin, "normalized" is the ratio of the number of events divided by the expected number (the expected number of events is calculated by dividing the total number of events in the instance used to make the fingerprint by the number of features in the fingerprint). "log2norm" is the log2 of the normalized values.

Methods

counts(object, transformation=c("raw", "normalized", "log2norm")

object = "flowFP"

This method returns a feature vector for each instance in the flowFP, the user can change the way the features are represented, by using the transformation argument. see below.

object = "flowFPPlex"

For a flowFPPlex the code assembles all of the counts matrices from all of the flowFP contained in the flowFPPlex.

rogerswt/flowFP documentation built on Aug. 26, 2020, 9:40 a.m.