Genetic co-expression networks contribute to creating predictive model and exploring novel biomarkers for the prognosis of breast cancer
Abstract Genetic co-expression network (GCN) analysis augments the understanding of breast cancer (BC). We aimed to propose GCN-based modeling for BC relapse-free survival (RFS) prediction and to discover novel biomarkers. We used GCN and Cox proportional hazard regression to create various predicti...
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Autores principales: | Chi-Ming Chu, Huan-Ming Hsu, Chi-Wen Chang, Yuan-Kuei Li, Yu-Jia Chang, Jyh-Cherng Yu, Chien-Ting Chen, Chen-En Jian, Meng-Chiung Lin, Kang-Hua Chen, Ming-Hao Kuo, Chia-Shiang Cheng, Ya-Ting Chang, Yi-Syuan Wu, Hao-Yi Wu, Ya-Ting Yang, Je-Ming Hu, Yu-Tien Chang |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/2f9335fe875d41c9aca44e5deee283de |
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