title: QuACN: an R package for analyzing complex biological networks quantitatively.
abstract: BACKGROUND
  Network-based representations of biological data have become an important way to analyze high-throughput data. To interpret the large amount of data that is produced by different high-throughput technologies, networks offer multifaceted aspects to analyze the data. As networks represent biological relationships within their structure, it turned out to be fruitful to analyze their topology. Therefore, we developed a freely available, open source R-package called Quantitative Analysis of Complex Networks (QuACN) to meet this challenge. QuACN contains different, information-theoretic and non-information-theoretic, topological network descriptors to analyze, classify and compare biological networks.
  
  
  BACKGROUND
  QuACN is freely available under LGPL via CRAN (http://cran.r-project.org/web/packages/QuACN/).
authors.affiliation: Department of Biomedical Sciences and Engineering, University for Health Sciences, Medical Informatics and Technology (UMIT), Hall in Tirol, Austria. laurin.mueller@umit.at
authors.forename: Laurin A J
authors.initials: LA
authors.lastname: Mueller
authors.forename: Karl G
authors.initials: KG
authors.lastname: Kugler
authors.forename: Andreas
authors.initials: A
authors.lastname: Dander
authors.forename: Armin
authors.initials: A
authors.lastname: Graber
authors.forename: Matthias
authors.initials: M
authors.lastname: Dehmer
mesh_terms: D008954:Models, Biological; D012984:Software