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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