Machine learning constructs a T cell-related signature for predicting prognosis and drug sensitivity in ovarian cancer
Author:
Affiliation:
1. Department of Obstetrics and Gynecology, General Hospital of Northern Theater Command, Shenyang 110015, China
Publisher
Impact Journals, LLC
Reference43 articles.
1. Ovarian Cancer, Version 2.2020, NCCN Clinical Practice Guidelines in Oncology.;Grisham;J Natl Compr Canc Netw,2021
2. Development and verification of a 7-lncRNA prognostic model based on tumor immunity for patients with ovarian cancer.;Qian;J Ovarian Res,2023
3. A novel defined pyroptosis-related gene signature for predicting the prognosis of ovarian cancer.;Qi;Cell Death Discov,2021
4. Targeting tumor microenvironment in ovarian cancer: Premise and promise.;Zhou;Biochim Biophys Acta Rev Cancer,2020
5. Treatment of epithelial ovarian cancer.;Guntupalli;BMJ,2020
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