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CINNA (version 1.0.0)

Deciphering Central Informative Nodes in Network Analysis

Description

Functions for computing, comparing and demonstrating top informative centrality measures within a network.

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Version

Install

install.packages('CINNA')

Monthly Downloads

425

Version

1.0.0

License

GPL-3

Maintainer

Minoo Ashtiani

Last Published

July 15th, 2017

Functions in CINNA (1.0.0)

calculate.centralities

Centrality measure calculation
cortex

Macaque Visual Cortex Network
drugtarget

Drug Target Network
giant.component.extract

Giant component extraction of a graph
graph.extract.components

Component extraction of a graph
kangaroo

Kangaroo Network
misc.extract.components

Component extraction of miscellaneous graph formats
pca.centralities

Ranking centrality measure based on contributions
print.visualize.association

Print pairwise association between centrality measure's plot into a file
print.visualize.correlations

Print centrality correlation plot
print.visualize.dendogram

Print dendrogram plot of a graph
print.visualize.graph

Print visualized based on centrality values graph
tsne.centralities

t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures
proper.centralities

Proper centrality measure representation
rhesus

Moreno Rhesus Network
visualize.correlations

Correlation plot between centrality values
visualize.dendogram

Dendrogram visualization based on a specific centrality measure
visualize.association

Pairwise association between centrality values
summary.pca.centralities

Summarize PCA result related to centrality measures
summary.tsne.centralities

Summarize t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures
visualize.graph

Graph visualization based on a specific centrality measure
visualize.heatmap

Heatmap between centrality values
print.visualize.heatmap

Print centralities' heatmap
print.visualize.pair.correlation

Print pairwise correlation of centrality measure and histogram plot
summary.calculate.centralities

Summarize centrality measure calculation results
summary.graph.extract.components

Summarize component extraction of a graph
visualize.pair.correlation

Pairwise correlation between two centrality values
zachary

Zachary Karate Club Network