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Distance correlation application to gene co-expression network analysis.

Jie HouXiufen YeWeixing FengQiaosheng ZhangYatong HanYusong LiuYu LiYufen Wei
Published in: BMC bioinformatics (2022)
Distance correlation is better at revealing complex biological relationships between gene profiles compared with other correlation metrics, which contribute to more meaningful modules when analyzing gene co-expression networks. However, due to the high time complexity of distance correlation, the implementation requires more computer memory.
Keyphrases
  • network analysis
  • poor prognosis
  • genome wide
  • copy number
  • healthcare
  • dna methylation
  • deep learning
  • genome wide analysis