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