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

Joint Authors

Cao, Yang
Li, Fei
Bo, Xiaochen
Xu, Wenjian
Niu, Chao

Source

BioMed Research International

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-02-09

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Cao, Yang& Xu, Wenjian& Niu, Chao& Bo, Xiaochen& Li, Fei. 2017. NFP: An R Package for Characterizing and Comparing of Annotated Biological Networks. BioMed Research International،Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1138595

Modern Language Association (MLA)

Cao, Yang…[et al.]. NFP: An R Package for Characterizing and Comparing of Annotated Biological Networks. BioMed Research International No. 2017 (2017), pp.1-5.
https://search.emarefa.net/detail/BIM-1138595

American Medical Association (AMA)

Cao, Yang& Xu, Wenjian& Niu, Chao& Bo, Xiaochen& Li, Fei. NFP: An R Package for Characterizing and Comparing of Annotated Biological Networks. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1138595

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1138595