DESCRIPTION

Package: NetVA
Type: Package
Title: An R package for network vulnerability and influence analysis
Version: 1.0.0
Date: 2022-02-04
Author: Swapnil Kumar, Grace Pauline, Vaibhav Vindal
Maintainer: Swapnil Kumar <swapnil.kr@yahoo.com>
Depends: R (>= 3.0.0), igraph
Imports: parallel, stats, utils
Suggests: knitr, rmarkdown
Description: 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.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
VignetteBuilder: knitr
URL: https://github.com/kr-swapnil/NetVA
BugReports: https://github.com/kr-swapnil/NetVA/issues
LazyLoad: yes
Packaged: 2022-01-27 14:45:21 IST
NeedsCompilation: no
Repository: GitHub, CRAN
Date/Publication: 2024-01-17