Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer.
基于与二硫键凋亡、铜凋亡和铁凋亡相关的基因，采用机器学习和 WGCNA 介导的双重分析方法，构建和验证乳腺癌预后模型
期刊:Journal of Cancer Research and Clinical Oncology
影响因子:2.8
doi:10.1007/s00432-023-05378-7
Xu Lijun, Wang Shanshan, Zhang Dan, Wu Yunxi, Shan Jiali, Zhu Huixia, Wang Chongyu, Wang Qingqing
