summary_tsne_centralities

This function summarizes the t-SNE analysis results on centrality measures.

Computing, comparing, and demonstrating top informative centrality measures within a network. "CINNA: an R/CRAN package to decipher Central Informative Nodes in Network Analysis" provides a comprehensive overview of the package functionality Ashtiani et al. (2018) <doi:10.1093/bioinformatics/bty819>.

Minoo Ashtiani

CINNA

Deciphering Central Informative Nodes in Network Analysis

Mehdi Mirzaie

Mohieddin Jafari

summary_tsne_centralities function

<dl><dt>x</dt>
<dd>A list containing the computed centrality values.</dd>
<dt>dims</dt>
<dd>An integer specifying the number of output dimensions (default = 2).</dd>
<dt>perplexity</dt>
<dd>A numeric value representing a flexible measure of the efficient number of neighbors.
The performance of t-SNE is fairly robust to changes in perplexity, and typical values are between 5 and 50 (default = 5).</dd>
<dt>scale</dt>
<dd>A logical value indicating whether the centrality values should be scaled or not (default = TRUE).</dd></dl>

Arguments

Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari

Author

Summarize t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures — summary_tsne_centralities

<dl>

<dt>x</dt>
<dd>A list containing the computed centrality values.</dd>


<dt>dims</dt>
<dd>An integer specifying the number of output dimensions (default = 2).</dd>


<dt>perplexity</dt>
<dd>A numeric value representing a flexible measure of the efficient number of neighbors.
The performance of t-SNE is fairly robust to changes in perplexity, and typical values are between 5 and 50 (default = 5).</dd>


<dt>scale</dt>
<dd>A logical value indicating whether the centrality values should be scaled or not (default = TRUE).</dd>

</dl>

summary_tsne_centralities: Summarize t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures

Description

Usage

Value

Arguments

Author

See Also