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

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 prediction models...

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Detalles Bibliográficos
Autores principales: Li, Yuan-Kuei, Hsu, Huan-Ming, Lin, Meng-Chiung, Chang, Chi-Wen, Chu, Chi-Ming, Chang, Yu-Jia, Yu, Jyh-Cherng, Chen, Chien-Ting, Jian, Chen-En, Sun, Chien-An, Chen, Kang-Hua, Kuo, Ming-Hao, Cheng, Chia-Shiang, Chang, Ya-Ting, Wu, Yi-Syuan, Wu, Hao-Yi, Yang, Ya-Ting, Lin, Chen, Lin, Hung-Che, Hu, Je-Ming, Chang, Yu-Tien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012617/
https://www.ncbi.nlm.nih.gov/pubmed/33790307
http://dx.doi.org/10.1038/s41598-021-84995-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012617/
https://www.ncbi.nlm.nih.gov/pubmed/33790307
http://dx.doi.org/10.1038/s41598-021-84995-z

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