Identification of an eight-lncRNA prognostic model for breast cancer using WGCNA network analysis and a Cox-proportional hazards model based on L1-penalized estimation

@article{Liu2019IdentificationOA,
  title={Identification of an eight-lncRNA prognostic model for breast cancer using WGCNA network analysis and a Cox-proportional hazards model based on L1-penalized estimation},
  author={Zhenbin Liu and Menghu Li and Qi Yuan Hua and Yanfang Li and Gang Wang},
  journal={International Journal of Molecular Medicine},
  year={2019},
  volume={44},
  pages={1333 - 1343}
}
An ever-increasing number of long noncoding (lnc) RNAs has been identified in breast cancer. The present study aimed to establish an lncRNA signature for predicting survival in breast cancer. RNA expression profiling was performed using microarray gene expression data from the National Center for Biotechnology Information Gene Expression Omnibus, followed by the identification of breast cancer-related preserved modules using weighted gene co-expression network (WGCNA) network analysis. From the… 

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