update_gate

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

update_gate function

<dl><dt>xp</dt>
<dd>A two colums matrix</dd>
<dt>polygon</dt>
<dd>A list with two components x and y of equal lenghts and numeric values</dd>
<dt>gate_vector</dt>
<dd>a vector of length nrow(xp) with integer values</dd>
<dt>value</dt>
<dd>The number that will be assigned to gate_vector, corresponding to points that lie in the polygon</dd></dl>

Arguments

Updates a gate vector — update_gate

<dl>

<dt>xp</dt>
<dd>A two colums matrix</dd>


<dt>polygon</dt>
<dd>A list with two components x and y of equal lenghts and numeric values</dd>


<dt>gate_vector</dt>
<dd>a vector of length nrow(xp) with integer values</dd>


<dt>value</dt>
<dd>The number that will be assigned to gate_vector, corresponding to points that lie in the polygon</dd>

</dl>

update_gate: Updates a gate vector

Description

Usage

Value

Arguments