kr-swapnil/NetVA: An R package for network vulnerability and influence analysis

Performs network vulnerability analysis and help to identify vulnerable or critical proteins (VPs), protein pairs (VPPs), and protein triplets (VPTs) for a given protein-protein interaction (PPI) network. Hence, network vulnerability analysis is an approach to identify VPs, VPPs, and VPTs by assessing networks based on its topological properties. The VPs, VPPs, and VPTs are identified based on fourteen different topological properties calculated for networks as constructed by deleting all nodes/proteins using one, two, and three nodes approaches, respectively, from the original network under investigation. Further, it helps to identify influential proteins in a given network based on the escape velocity centrality (EVC) and extended EVC (EVC+). This package provides the capabilities to use multiple cores on Linux/macOS to parallelize the process using parallel package. It also helps to identify hubs and bottlenecks present in the network based on the well-known pareto-principle of 80:20 rule.

install.packages("remotes")
remotes::install_github("kr-swapnil/NetVA")