influential
Network influence analysis, centrality assessment, and experimental feature prioritization in R
Overview
influential is an R package for identifying influential nodes in
networks and for classifying and prioritizing candidate features from
experimental data. It brings together association analysis, network
reconstruction, centrality assessment, influence ranking, visualization,
simulation, and experimental feature prioritization in a single
toolkit.
Two complementary workflows sit at the center of the package:
- Integrated Value of Influence (IVI) integrates local, semi-local, and global topological information to identify influential network nodes while reducing the limitations of relying on any single centrality measure.
- Experimental data-based Integrative Ranking (ExIR) combines experimental evidence, machine learning, network reconstruction, and influence ranking to classify and prioritize candidate drivers, biomarkers, and mediators from omics data.
The package also provides Hubness score for local network power, Spreading score for information-spreading potential, SIRIR for simulation-based influence ranking, computational knockout/up-regulation, fast correlation analysis, network reconstruction utilities, centrality measures, and centrality-based network visualization.
At a glance
| Capability | What influential provides |
|---|---|
| Association analysis | Fast Pearson/Spearman correlation analysis with optional mutual rank, p-values, and adjusted p-values |
| Network reconstruction | Construction of igraph networks from data frames, adjacency matrices, incidence matrices, and SIF files |
| Centrality analysis | Local, semi-local, and global centrality measures together with association assessment |
| Network influence | IVI, Hubness score, Spreading score, and SIRIR |
| Experimental prioritization | ExIR-based classification and ranking of drivers, biomarkers, and mediators from omics data |
| Perturbation & visualization | In silico knockout/up-regulation and centrality-based network visualization |
| Interactive analysis | Browser-based and locally launchable Shiny interfaces for IVI and ExIR |
Quick links
| Resource | Link |
|---|---|
| ✨ Feature Explorer | Explore the features and capabilities of influential |