Multinomial Regression with Group Structure for Screening Biomarkers of Breast Cancer
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6882-4_49
Reference20 articles.
1. Giaquinto, A.N., Sung, H., Miller, K.D., Kramer, J.L., Newman, L.A., Minihan, A., Jemal, A., Siegel, R.L.: Breast cancer statistics, 2022. CA Cancer J. Clin. 72(6), 524–541 (2022). https://doi.org/10.3322/caac.21754
2. Yeo, S.K., Guan, J.L.: Breast cancer: multiple subtypes within a tumor? Trends Cancer 3(11), 753–760 (2017). https://doi.org/10.1016/j.trecan.2017.09.001
3. Nassar, F.J., Nasr, R., Talhouk, R.: MicroRNAs as biomarkers for early breast cancer diagnosis, prognosis and therapy prediction. Pharmacol. Ther. 172, 34–49 (2017). https://doi.org/10.1016/j.pharmthera.2016.11.012
4. Jordan-Alejandre, E., Campos-Parra, A,D., Castro-Lopez, D.L., Silva-Cazares, M.B.: Potential miRNA use as a biomarker: from breast cancer diagnosis to metastasis. Cells 12(4), 525 (2023). https://doi.org/10.3390/cells12040525
5. Sarkar, J.P., Saha, I., Sarkar, A., Maulik, U.: Machine learning integrated ensemble of feature selection methods, followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers. Comput. Biol. Med. 131, 104244 (2021). https://doi.org/10.1016/j.compbiomed.2021.104244
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