Distance correlation application to gene co-expression network analysis

Distance correlation application to gene co-expression network analysis

Abstract Background To construct gene co-expression networks, it is necessary to evaluate the correlation between different gene expression profiles. However, commonly used correlation metrics, including both linear (such as Pearson’s correlation) and monotonic (such as Spearman’s correlation) depen...

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Bibliographic Details
Main Authors: Jie Hou, Xiufen Ye, Weixing Feng, Qiaosheng Zhang, Yatong Han, Yusong Liu, Yu Li, Yufen Wei
Format: Article
Language:English
Published: BMC 2022-02-01
Series:BMC Bioinformatics
Subjects:
Gene expression
Distance correlation
WGCNA
Enrichment analysis
Online Access:https://doi.org/10.1186/s12859-022-04609-x

Internet

https://doi.org/10.1186/s12859-022-04609-x

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