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Articles

The integration of weighted gene association networks based on information entropy

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By Limei Lin, Jian Yang, Duzhi Wu, Rongzhi College
| PLOS
Constructing genome scale weighted gene association networks (WGAN) from multiple data sources is one of research hot spots in systems biology. In this paper, we employ information entropy to describe the uncertain degree of gene-gene links and propose a strategy for data integration of weighted networks.
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