NFP: An R Package for Characterizing and Comparing of Annotated Biological Networks.
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 cons...
| Publicado en: | BioMed Research International Vol. 2017; pp. 1 - 6 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2/9/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121197474&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121197474 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2/9/2017 vid: 2017 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 121197474 121197474 121197474 10.1155/2017/7457131 121197474 ppf: 1 ppct: 5 formats: fmt: @attributes: type: P tig: atl: NFP: An R Package for Characterizing and Comparing of Annotated Biological Networks. aug: au: Cao, Yang Xu, Wenjian Niu, Chao Bo, Xiaochen Li, Fei affil: Department of Biotechnology, Beijing Institute of Radical Medicine, 27 Taiping Road, Haidian District, Beijing 100850, China sug: subj: Bioinformatics Computer Communication Networks Conceptual Framework Algorithms Utilization Knowledge Bases Software Design Funding Source ab: 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. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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