Predicting the Evolution of Cancer Stem Cell Subtypes Using a Machine Learning Framework
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60840-7_22
Reference6 articles.
1. Li, W., Ma, H., Zhang, J., et al.: Unraveling the roles of CD44/CD24 and ALDH1 as cancer stem cell markers in tumorigenesis and metastasis. Sci. Rep., vols. 7, 13856
2. Enciso-Benavides, J., et al.: Biological characteristics of a sub-population of cancer stem cells from two triple-negative breast tumour cell lines (2021). Heliyon, vol. 10; 7(6), e07273
3. Ginestier, C., et al.: ALDH1 is a marker of normal and malignant human mammary stem cells and a predictor of poor clinical outcome. Cell Stem Cell 1, 555–567 (2007)
4. Tiezzi, D.G., et al.: ABCG2 as a potential cancer stem cell marker in breast cancer. J. Clin. Oncol. 31(15), e12007 (2013)
5. De Jong, K.: Learning with genetic algorithms: an overview. Mach. Learn. 3(2), 121–138 (1988)
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