FmeasureC

C++ implementation of the F-measure computation

Given the hypothesis of a bi-modal distribution of cells for
each marker, the algorithm constructs a binary tree, the nodes of which are
subpopulations of cells. At each node, observed cells and markers are modeled
by both a family of normal distributions and a family of bi-modal normal mixture
distributions. Splitting is done according to a normalized difference of AIC
between the two families. Method is detailed in: Commenges, Alkhassim, Gottardo,
Hejblum & Thiebaut (2018) <doi: 10.1002/cyto.a.23601>.

Boris P. Hejblum

cytometree

Automated Cytometry Gating and Annotation

Chariff Alkhassim

Boris P Hejblum

Anthony Devaux

Van Hung Huynh Tran

Melany Durand

FmeasureC function

<dl><dt>pred</dt>
<dd>vector of a predicted partition</dd>
<dt>ref</dt>
<dd>vector of a reference partition</dd></dl>

Arguments

Author

C++ implementation of the F-measure computation — FmeasureC

<dl>

<dt>pred</dt>
<dd>vector of a predicted partition</dd>


<dt>ref</dt>
<dd>vector of a reference partition</dd>

</dl>

FmeasureC: C++ implementation of the F-measure computation

Description

Usage

Arguments

Author