Evaluation of Machine Learning Models for Breast Cancer Detection in Microarray Gene Expression Profiles
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0293-0_40
Reference34 articles.
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4. Cardoso F, McCartney A, Ponti A et al (2023) European society of breast cancer specialists/advanced breast cancer global alliance quality indicators for metastatic breast cancer care. Eur J Cancer 187:105–113. https://doi.org/10.1016/j.ejca.2023.03.028
5. Hu H, Wang Z-W, Hu S et al (2023) GNPNAT1 promotes the stemness of breast cancer and serves as a potential prognostic biomarker. Oncol Rep 50:1–17. https://doi.org/10.3892/or.2023.8594
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