Work

Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks

Year: 2008

Type: article

Abstract: The structural analysis of biological networks includes the ranking of the vertices based on the connection structure of a network. To support this analysis we discuss centrality measures which indicate the importance of vertices, and demonstrate their applicability on a gene regulatory network. We show that common centrality measures result in different valuations of the vertices and that novel measures tailored to specific biological investigations are useful for the analysis of biological networks, in particular gene regulatory networks.

Source: Gene Regulation and Systems Biology

DOI: 10.4137/grsb.s702

Authors: Dirk Koschützki, Falk Schreiber

Institutions: Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK), Furtwangen University, Martin Luther University Halle-Wittenberg

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

Funder: Directorate for Biological Sciences

OpenAlex ID: W118100147

FWCI: 0.433

Cites: 32

Cited by: 368

Related to: 10