FunctionalityScore: Compute the Functionality Score for each subject fit in a...
In RGLab/COMPASS: Combinatorial Polyfunctionality Analysis of Single Cells

Description Usage Arguments Value Note Examples

Computes the functionality score for each observation from the gamma matrix of a COMPASS model fit. The scores are normalized according to the total number of possible subsets that could be observed (2^M - 1).

FunctionalityScore(x, n, markers = NULL)

## S3 method for class 'COMPASSResult'
FunctionalityScore(x, n, markers = NULL)

## Default S3 method:
FunctionalityScore(x, n, markers = NULL)

`x`	An object of class `COMPASSResult`, as returned by `COMPASS`. Alternatively, a matrix of functionality scores, used under the assumption that the 'null' category has been dropped.
`n`	The number of markers included in an experiment. It is inferred from the data when `x` is a `COMPASSResult`.
`markers`	The set of markers for which to compute a Functionality score. By default uses all markers. Must match names returned by `markers()`.

A numeric vector of functionality scores.

The null category is implicitly dropped when computing the functionality score for a COMPASS result; this is not true for the regular matrix method.