Genetic co-expression networks contribute to creating predictive model and exploring novel biomarkers for the prognosis of breast cancer

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2021-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-84995-z

Internet

https://doi.org/10.1038/s41598-021-84995-z

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