Samusik_01_subset

<p>2000 events randomly sampled from the 'Samusik_01' dataset</p>

datasets

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

Samusik_01_subset function

<p>list with four elements: fs_src (a flowSet), xp_src (its expression matrix), labels (manual gates of the events) and tsne (a tSNE projection of the dataset)</p>

Samusik_01_subset: 2000 events randomly sampled from the 'Samusik_01' dataset

Description

Usage

Arguments

Format

References