INDEED: Integrated differential expression and differential network analysis of omic data for biomarker discovery.

@article{Zuo2016INDEEDID,
  title={INDEED: Integrated differential expression and differential network analysis of omic data for biomarker discovery.},
  author={Yiming Zuo and Yi Cui and Cristina Di Poto and Rency S. Varghese and Guoqiang Yu and Ruijiang Li and Habtom W. Ressom},
  journal={Methods},
  year={2016},
  volume={111},
  pages={12-20}
}
Differential expression (DE) analysis is commonly used to identify biomarker candidates that have significant changes in their expression levels between distinct biological groups. One drawback of DE analysis is that it only considers the changes on single biomolecule level. Recently, differential network (DN) analysis has become popular due to its capability to measure the changes on biomolecular pair level. In DN analysis, network is typically built based on correlation and biomarker… CONTINUE READING
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