Copyright
©The Author(s) 2024.
World J Gastroenterol. May 14, 2024; 30(18): 2454-2466
Published online May 14, 2024. doi: 10.3748/wjg.v30.i18.2454
Published online May 14, 2024. doi: 10.3748/wjg.v30.i18.2454
Figure 4 Area under the receiver operating characteristic curves and hub metabolite screening of machine learning algorithms for significantly different metabolites.
A: Area under the receiver operating characteristic (AUROC) curve of the least absolute shrinkage and selection operator (LASSO) model; B: AUROC curve of the random forest (RF) model; C: Hub metabolite screening of LASSO; D: Hub metabolite screening of RF. LASSO: Least absolute shrinkage and selection operator; RF: Random forest; AUC: Area under the curve; ROC: Receiver operating characteristic.
- Citation: Yu SM, Zheng HC, Wang SC, Rong WY, Li P, Jing J, He TT, Li JH, Ding X, Wang RL. Salivary metabolites are promising noninvasive biomarkers of drug-induced liver injury. World J Gastroenterol 2024; 30(18): 2454-2466
- URL: https://www.wjgnet.com/1007-9327/full/v30/i18/2454.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i18.2454