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-Reference-Cited by-同舟云学术

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

Published:2023-09-15 Issue:18 Volume:149 Page:16511-16523
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Xu Lijun,Wang Shanshan,Zhang Dan,Wu Yunxi,Shan Jiali,Zhu Huixia,Wang Chongyu,Wang Qingqing

Funder

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Research project on teaching reform of Nantong University

Jiangsu Province Capability Improvement Project through Science，Technology and Education

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00432-023-05378-7.pdf

Reference34 articles.

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