Welcome to QuACN project!

This package includes methods for the analysis of complex networks. To characterize complex networks structurally we implemented topological measures for graphs. It includes information and non-information theoretic network measures.

The project summary page you can find here.

For a detailed description of the package see the vignette.

General Information about QuACN:

1. Installation
To install QuACN following software has to be installed before:
• GMP
• MPFR
2. Citation
• Mueller LAJ, Kugler KG, Dander A, Graber A, Dehmer M (2011) QuACN: an R package for analyzing complex biological networks quantitatively. Bioinformatics 27: 140–141.
3. Related Publications
• Netzer M, Kugler KG, Müller LA, Weinberger KM, Graber A, Baumgartner C, Dehmer M. (2012) A network-based feature selection approach to identify metabolic signatures in disease.J Theor Biol. 2012 Oct 7;310:216-22. Epub 2012 Jul 4.
• Mueller LA, Kugler KG, Netzer M, Graber A, Dehmer M. (2011) A network-based approach to classify the three domains of life.Biol Direct. 2011 Oct 13;6:53.
• Mueller LA, Kugler KG, Graber A, Emmert-Streib F, Dehmer M (2011) Structural measures for network biology using QuACN.BMC Bioinformatics. Dec 24;12:492.
• Mueller LAJ, Kugler KG, Dehmer M (2011) Stuctural Analysis of Molecular Networks : AMES Mutagenicity.BIOCOMP, Las Vegas
• Kugler KG, Mueller LAJ, Graber A, Dehmer M (2011) Integrative Network Biology: Graph Prototyping for Co-Expression Cancer Networks. PLoS ONE 6(7): e22843. doi:10.1371/journal.pone.0022843
• Mueller LAJ, Kugler KG, Dander A, Graber A, Dehmer M (2011) QuACN: an R package for analyzing complex biological networks quantitatively. Bioinformatics 27: 140–141.