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CINNA (version 1.1.2)

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

416

Version

1.1.2

License

GPL-3

Maintainer

Minoo Ashtiani

Last Published

October 23rd, 2017

Functions in CINNA (1.1.2)

drugtarget

Drug Target Network

giant_component_extract

Giant component extraction of a graph

print.calculate.centralities

Print computed centrality measures results into a file

print.visualize.association

Print pairwise association plot among centrality measures into a file

calculate_centralities

Centrality measure calculation

cortex

Macaque Visual Cortex Network

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.pair.correlation

Print pairwise correlation and histogram plots between two centrality measures

proper_centralities

Proper centrality measure representation

zachary

Zachary Karate Club Network

print.visualize.correlations

Print centrality correlation plot

print.visualize.dendrogram

Print dendrogram plot of a graph

visualize_heatmap

Heatmap plot between centrality measures

print.visualize.graph

Print visualized based on centrality values graph

print.visualize.heatmap

Print the heatmap plot of centrality measures

visualize_dendrogram

Dendrogram plot among centrality measures

visualize_graph

Graph visualization based on a specific centrality measure

rhesus

Moreno Rhesus Network

summary.calculate.centralities

Summarize centrality measure calculation results

summary.tsne.centralities

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

visualize_pair_correlation

Pairwise correlation plot between two centrality measures

summary.graph.extract.components

Summarize component extraction of a graph

summary.pca.centralities

Summarize PCA result related to centrality measures

visualize_association

Pairwise association plot between centrality measures

visualize_correlations

Correlation plot between centrality measures

tsne_centralities

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