Weighted gene co-expression network analysis based on Copula function
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to improve the WGCNA model,we utilized Frank-Copula function to calculate correlation coefficient in this paper.Meanwhile,we applied the improved model to mine the mice genetic data,and discovered that there were 67 genes related to weight problems resulted from obesity in the maximum correlation coefficient module.The efficiency of the model was up to 62.6%,which justified the scientificity,effectiveness and feasibility of this model in functional genetic screening application.

    Reference
    Related
    Cited by
Get Citation

汪伟平,白婷,贺帅,李倩,胡动刚. Weighted gene co-expression network analysis based on Copula function[J]. Jorunal of Huazhong Agricultural University,2015,34(2):101-105.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:April 20,2014
  • Revised:
  • Adopted:
  • Online: January 30,2015
  • Published: