Package index
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betweenness() - Vertex betweenness centrality
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cent_network.vis() - Centrality-based network visualization
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centrality.measures - Centrality measures dataset
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clusterRank() - ClusterRank (CR)
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coexpression.adjacency - Adjacency matrix
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coexpression.data - Co-expression dataset
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collective.influence() - Collective Influence (CI)
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comp_manipulate() - Computational manipulation of cells
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cond.prob.analysis() - Conditional probability of deviation from means
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diff_data.assembly() - Assembling the differential/regression data
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double.cent.assess() - Assessment of innate features and associations of two network centrality measures (dependent and independent)
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double.cent.assess.noRegression() - Assessment of innate features and associations of two network centrality measures
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exir() - Experimental data-based Integrated Ranking
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exir.vis() - Visualization of ExIR results
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fcor() - Fast correlation and mutual rank analysis
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h_index() - H-index
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hubness.score() - Hubness score
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ivi() - Integrated Value of Influence (IVI)
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ivi.from.indices() - Integrated Value of Influence (IVI)
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lh_index() - local H-index (LH-index)
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neighborhood.connectivity() - Neighborhood connectivity
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runShinyApp() - Run shiny app
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sif2igraph() - SIF to igraph
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sirir() - SIR-based Influence Ranking
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spreading.score() - Spreading score