Multimetric feature selection for analyzing multicategory outcomes of colorectal cancer: random forest and multinomial logistic regression models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Molecular Biology,Pathology and Forensic Medicine
Link
https://www.nature.com/articles/s41374-021-00662-x.pdf
Reference68 articles.
1. Siegel, R. L., Miller, K. D., Fuchs, H. E. & Jemal, A. Cancer Statistics, 2021. Cancer J. Clin. 71, 7–33 (2021).
2. Zhang, M. et al. Association of KRAS mutation with tumor deposit status and overall survival of colorectal cancer. Cancer Causes Control 31, 683–689 (2020).
3. Chavali, L. B. et al. Radiotherapy for patients with resected tumor deposit-positive colorectal cancer: a surveillance, epidemiology, and end results-based population study. Arch. Pathol. Lab. Med. 142, 721–729 (2018).
4. Mayo, E., Llanos, A. A., Yi, X., Duan, S. Z. & Zhang, L. Prognostic value of tumour deposit and perineural invasion status in colorectal cancer patients: a SEER-based population study. Histopathology 69, 230–238 (2016).
5. Siegel, R. L. et al. Colorectal cancer statistics, 2020. Cancer J. Clin. 70, 145–164 (2020).
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