Revisiting the use of graph centrality models in biological pathway analysis

Revisiting the use of graph centrality models in biological pathway analysis

Abstract The use of graph theory models is widespread in biological pathway analyses as it is often desired to evaluate the position of genes and proteins in their interaction networks of the biological systems. In this article, we argue that the common standard graph centrality measures do not suff...

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Bibliographic Details
Main Authors: Pourya Naderi Yeganeh, Chrsitine Richardson, Erik Saule, Ann Loraine, M. Taghi Mostafavi
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BioData Mining
Subjects:
Biological networks
Network analysis
Pathway analysis
Online Access:http://link.springer.com/article/10.1186/s13040-020-00214-x

Internet

http://link.springer.com/article/10.1186/s13040-020-00214-x

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