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.
Summary:
Package: | nettools |
Type: | Package |
Version: | 1.0.1 |
Date: | |
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 <filosi@fbk.eu>
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.
http://www.biomedcentral.com/1471-2105/9/461
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.
http://mpba.fbk.eu/cmine
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 http://www.sciencemag.org/content/suppl/2011/12/14/334.6062.1518.DC1)
Further information on specific functions for inferring the adjacency matrix could be found in WGCNA, minerva and minet.
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