PT  - JOURNAL ARTICLE
AU  - Abhik Seal
AU  - David J. Wild
TI  - Netpredictor: R and Shiny package to perform Drug-Target Bipartite network analysis and prediction of missing links
AID  - 10.1101/080036
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 080036
4099  - http://biorxiv.org/content/early/2016/10/10/080036.short
4100  - http://biorxiv.org/content/early/2016/10/10/080036.full
AB  - Netpredictor is an R package for prediction of missing links in any given bipartite network. The package provides utilities to compute missing links in a bipartite and well as unipartite networks using Random Walk with Restart and Network inference algorithm. The package also allows computation of Bipartite network properties, visualization of communities for two different sets of nodes, and calculation of significant interactions between two sets of nodes using permutation based testing. The R standalone package (including detailed introductory vignettes) and associated R Shiny web application is available under the GPL-2 Open Source license and is freely available to download from github Netpredictor repository and Shiny Netpredictor repository respectively.