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CINNA (version 1.1.4)
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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Install
install.packages('CINNA')
Monthly Downloads
877
Version
1.1.4
License
GPL-3
Maintainer
Minoo Ashtiani
Last Published
April 10th, 2018
Functions in CINNA (1.1.4)
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print.visualize.pair.correlation
Print pairwise correlation and histogram plots between two centrality measures
visualize_heatmap
Heatmap plot between centrality measures
proper_centralities
Proper centrality measure representation
visualize_association
Pairwise association plot between centrality measures
visualize_correlations
Correlation plot between centrality measures
zachary
Zachary Karate Club Network
visualize_graph
Graph visualization based on a specific centrality measure
visualize_dendrogram
Dendrogram plot among centrality measures
visualize_pair_correlation
Pairwise correlation plot between two centrality measures
summary.tsne.centralities
Summarize t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures
tsne_centralities
t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures
graph_extract_components
Component extraction of a graph
print.calculate.centralities
Print computed centrality measures results into a file
calculate_centralities
Centrality measure calculation
print.visualize.association
Print pairwise association plot among centrality measures into a file
drugtarget
Drug Target Network
kangaroo
Kangaroo Network
giant_component_extract
Giant component extraction of a graph
misc_extract_components
Component extraction of miscellaneous graph formats
pca_centralities
Ranking centrality measure based on contributions
cortex
Macaque Visual Cortex Network
summary.pca.centralities
Summarize PCA result related to centrality measures
summary.graph.extract.components
Summarize component extraction of a graph
summary.calculate.centralities
Summarize centrality measure calculation results
rhesus
Moreno Rhesus Network
print.visualize.correlations
Print centrality correlation plot
print.visualize.dendrogram
Print dendrogram plot of a graph
print.visualize.graph
Print visualized based on centrality values graph
print.visualize.heatmap
Print the heatmap plot of centrality measures