remove.isolates

is interpreted as:<dl class="dl-horizontal">
 <dt>a <code>[n x n]</code> distance matrix</dt><dd>X is a square matrix with zeros on diagonal for <code>n</code> samples.</dd>
 <dt>a <code>[n x d]</code> data matrix</dt><dd>X is a data matrix with <code>n</code> samples in <code>d</code> dimensions.</dd>
</dl>

<code>[n]</code> a vector containing the sample ids for our <code>n</code> samples.

a boolean indicating whether your <code>X</code> input is a distance matrix or not. Defaults to <code>FALSE</code>.

is.dist

A function to remove isolates from a dataset, given a data matrix or a distance matrix.

internal

Multiscale Graph Correlation (MGC) is a framework developed by Vogelstein et al. (2019) <DOI:10.7554/eLife.41690> that extends global correlation procedures to be multiscale; consequently, MGC tests typically require far fewer samples than existing methods for a wide variety of dependence structures and dimensionalities, while maintaining computational efficiency. Moreover, MGC provides a simple and elegant multiscale characterization of the potentially complex latent geometry underlying the relationship.

Eric Bridgeford

Multiscale Graph Correlation

Censheng Shen

Shangsi Wang

Joshua Vogelstein

remove.isolates function

is interpreted as:<dl class='dl-horizontal'>
 <dt>a <code>[n x n]</code> distance matrix</dt><dd>X is a square matrix with zeros on diagonal for <code>n</code> samples.</dd>
 <dt>a <code>[n x d]</code> data matrix</dt><dd>X is a data matrix with <code>n</code> samples in <code>d</code> dimensions.</dd>
</dl>

remove.isolates: Remove Isolates

Description

Usage

Arguments