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©The Author(s) 2025.
World J Gastroenterol. Apr 14, 2025; 31(14): 104588
Published online Apr 14, 2025. doi: 10.3748/wjg.v31.i14.104588
Published online Apr 14, 2025. doi: 10.3748/wjg.v31.i14.104588
Figure 1 Feature selection based on least absolute shrinkage and selection operator regression.
A: LASSO coefficient profile; B: The optimal penalty parameter (λ) in the LASSO model determined by 10-fold cross-validation and the minimum criteria in the training set.
- Citation: Li KJ, Zhang ZY, Wang K, Sulayman S, Zeng XY, Liu J, Chen Y, Zhao ZL. Prognostic scoring system using inflammation- and nutrition-related biomarkers to predict prognosis in stage I-III colorectal cancer patients. World J Gastroenterol 2025; 31(14): 104588
- URL: https://www.wjgnet.com/1007-9327/full/v31/i14/104588.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i14.104588