NetWalk-package: Link prediction and analysis of Bipartite Networks

In abhik1368/netpredictor: Algorithms to search for missing link in a graph.

Description

The package analyses the Unipartite and Bipartite networks and also algorithms have been implemented for link prediction like Random walks with Restart, Network Based Inference and Heterogenous Graph based inference algorithms . More Graph based Machine Learning algorithms algorithms will be included in the upcoming versions.

Details

Package:	netpredicter
Type:	Package
Version:	1.0
Date:	2015-10-02
License:	MIT

To install the netpredictor

libary(devtools)

install_github("netpredictor", "abhik1368")

Author(s)

Abhik Seal

Maintainer: [e-mail]

References

• Chen X, et al. Drug–target interaction prediction by random walk on the heterogeneous network. Mol. BioSyst 2012;8:1970-1978.

• Vanunu O, Sharan R. Proceedings of the German Conference on Bioinformatics. Germany: GI; 2008. A propagation-based algorithm for inferring gene-disease assocations; pp. 54–63.

• Wang W, et al. Drug target predictions based on heterogeneous graph inference. Pac. Symp. Biocomput. 2013:53-64

• Cheng F, et al. Prediction of drug-target interactions and drug repositioning via network-based inference. PLoS Comput. Biol. 2012;8:e1002503.

• Borgatti, S. P. and Everett, M. G. (1997) Network analysis of 2–mode data. Social Networks 19, 243–269.

See Also

igraph,biNetwalk,nbiNet,uNetwalk,sig.net

abhik1368/netpredictor documentation built on May 10, 2019, 4:09 a.m.