cluster_relabel

Relabeling clusters based on cluster similarities

Clustering, or cluster analysis, is a widely used technique in bioinformatics to identify groups of similar biological data points. Consensus clustering is an extension to clustering algorithms that aims to construct a robust result from those clustering features that are invariant under different sources of variation. For the reference, please cite the following paper: Yousefi, Melograna, et. al., (2023) <doi:10.3389/fmicb.2023.1170391>.

Behnam Yousefi

ConsensusClustering

Consensus Clustering

cluster_relabel function

<dl><dt>x1</dt>
<dd>clustering vector 1
Zero elements are are considered as unclustered samples</dd>
<dt>x2</dt>
<dd>clustering vector 2
Zero elements are are considered as unclustered samples</dd></dl>

Arguments

Relabeling clusters based on cluster similarities — cluster_relabel

<dl>

<dt>x1</dt>
<dd>clustering vector 1
Zero elements are are considered as unclustered samples</dd>


<dt>x2</dt>
<dd>clustering vector 2
Zero elements are are considered as unclustered samples</dd>

</dl>

cluster_relabel: Relabeling clusters based on cluster similarities

Description

Usage

Value

Arguments

Details

Examples