fill_FNTN_matrix

fill_FNTN_matrix Used for assessing whether an expansion move is possible

Given a high-dimensional dataset that typically represents a cytometry dataset, and a subset of the datapoints, this algorithm outputs an hyperrectangle so that datapoints within the hyperrectangle best correspond to the specified subset. In essence, this allows the conversion of clustering algorithms' outputs to gating strategies outputs.

Etienne Becht

hypergate

Machine Learning of Hyperrectangular Gating Strategies for
High-Dimensional Cytometry

Samuel Granjeaud

fill_FNTN_matrix function

<dl><dt>xp_FN</dt>
<dd>Expression matrix of False Negative events</dd>
<dt>xp_TN</dt>
<dd>Expression matrix of True Negative events</dd>
<dt>B_FN</dt>
<dd>Boolean matrix of FN events</dd>
<dt>B_TN</dt>
<dd>Boolean matrix of TN events</dd>
<dt>par</dt>
<dd>Current hyper-rectangle parametrization</dd></dl>

Arguments

fill_FNTN_matrix — fill_FNTN_matrix

<dl>

<dt>xp_FN</dt>
<dd>Expression matrix of False Negative events</dd>


<dt>xp_TN</dt>
<dd>Expression matrix of True Negative events</dd>


<dt>B_FN</dt>
<dd>Boolean matrix of FN events</dd>


<dt>B_TN</dt>
<dd>Boolean matrix of TN events</dd>


<dt>par</dt>
<dd>Current hyper-rectangle parametrization</dd>

</dl>

fill_FNTN_matrix: fill_FNTN_matrix

Description

Usage

Arguments