connectivity_matrix

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

connectivity_matrix function

<dl><dt>clusters</dt>
<dd>a vector of clusterings. Zero elements mean that the sample was absent
during clustering</dd></dl>

Arguments

Build connectivity matrix — connectivity_matrix

<dl>

<dt>clusters</dt>
<dd>a vector of clusterings. Zero elements mean that the sample was absent
during clustering</dd>

</dl>

connectivity_matrix: Build connectivity matrix

Description

Usage

Value

Arguments

Details

Examples