Metrics to estimate differential co-expression networks

Metrics to estimate differential co-expression networks

Abstract Background Detecting the differences in gene expression data is important for understanding the underlying molecular mechanisms. Although the differentially expressed genes are a large component, differences in correlation are becoming an interesting approach to achieving deeper insights. H...

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Bibliographic Details
Main Authors: Elpidio-Emmanuel Gonzalez-Valbuena, Víctor Treviño
Format: Article
Language:English
Published: BMC 2017-11-01
Series:BioData Mining
Subjects:
Differential correlation
Networks
Data simulation
Online Access:http://link.springer.com/article/10.1186/s13040-017-0152-6

Internet

http://link.springer.com/article/10.1186/s13040-017-0152-6

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