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Additionally, tree-based models, including random forest and Gradient-Boosted Trees, assign feature importance scores, while wrapper and embedded methods, such as Least Absolute Shrinkage and Selection Operator (LASSO) regression and Recursive Feature Elimination with Support Vector Machines (SVM-RFE), further refine feature selection through model-dependent approaches [299]

doi: 10.1111/j.1469-8137.2008.02748.x

Moreover, it has been found that mTOR may also phosphorylate AMBRA1 to further disrupt the autophagic pathway (Nazio et al., 2013)

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