Large amounts of various biological networks exist for representing different
types of interaction data, such as genetic, metabolic, gene regulatory, and
protein-protein relationships. Recent approaches on biological network study are
based on different mathematical concepts. It is necessary to construct a uniform
framework to judge the functionality of biological networks. We recently
introduced a knowledge-based computational framework that reliably characterized
biological networks in system level. The method worked by making systematic
comparisons to a set of well-studied "basic networks," measuring both the
functional and topological similarities. A biological network could be
characterized as a spectrum-like vector consisting of similarities to basic
networks. Here, to facilitate the application, development, and adoption of this
framework, we present an R package called NFP. This package extends our previous
pipeline, offering a powerful set of functions for Network Fingerprint analysis.
The software shows great potential in biological network study. The open source
NFP R package is freely available under the GNU General Public License v2.0 at
CRAN along with the vignette.

NFP: An R Package for Characterizing and Comparing of Annotated Biological Networks.

NFP is an R package to characterize and compare annotated biological networks. The NFP algorithm includes functions for the analysis of fingerprint analysis of networks.

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