Six models were established using two batches of model genes(REC and AAG), and along with three machine learning algorithms: LASSO, linear regression (LR), and random forest (RF) (IMAGE)
Caption
a). The models can accurately identify AD lesions in training data; b). LASSO (REC and AAG) and LR (REC and AAG) models showed good classification performed in the testing datasets; c). all genes displayed a significant time-dependent downregulation in the LASSO and LR models with Dupilumab treatment; d). LASSO(REC) and LR(AAG) model scores were positively correlated with SCORD; e). Correlation between LASSO (REC) and LR (AAG) model scores and immune cell infiltration.
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