nettools-package: A Network Comparison Framework

Description Details Author(s) References See Also


This package provides a collection of network inference methods for co-expression networks, quantitative network distances and a novel framework for network stability analysis.



Package: nettools
Type: Package
Version: 1.0.1
Depends: R (>= 2.14.1), methods Imports: WGCNA, minet, rootSolve, dtw, Matrix, parallel, minerva, combinat, igraph License: CC BY-NC-SA 4.0


Michele Filosi [aut, cre], Roberto Visintainer [aut], Samantha Riccadonna [aut], Giuseppe Jurman [ctb], Cesare Furlanello [ctb]
Maintainer: Michele Filosi <>


M. Filosi, R. Visintainer, S. Riccadonna, G. Jurman, C. Furlanello (2014) Stability Indicators in Network Reconstruction, PLOSONE

P. Langfelder, S. Horvath (2008) WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics 2008, 9:559

P. E. Meyer, F. Lafitte, G. Bontempi (2008). MINET: An open source R/Bioconductor Package for Mutual Information based Network Inference. BMC Bioinformatics.

D. Albanese, M.Filosi, R. Visintainer, S. Riccadonna, G. Jurman, C. Furlanello (2012). minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers, Bioinformatics 2012.

D. Reshef, Y. Reshef, H. Finucane, S. Grossman, G. McVean, P. Turnbaugh, E. Lander, M. Mitzenmacher, P. Sabeti. (2011) Detecting novel associations in large datasets. Science 334, 6062

(SOM: Supplementary Online Material at

See Also

Further information on specific functions for inferring the adjacency matrix could be found in WGCNA, minerva and minet.

nettools documentation built on May 29, 2017, 5:28 p.m.