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. 2024 Jan 1;14(3):1065–1080. doi: 10.7150/thno.92336

Figure 2.

Figure 2

Combining multiple strategies to identify NEPC markers based on scRNA-seq and bulk RNA-seq meta-databases. A. Strategic schema about identification of high-quality NEPC markers and construction of predictors via multiple machine learning algorithms. Elastic network, Enet. Ridge regression, Ridge. Gradient boosting machine, GBM. Random forest, RSF. Supervised principal components, SuperPC. Support vector machine, SVM. B. Heatmap showing the expression (Z-score) of 587 up-regulated and 184 down-regulated NEPC feature genes (NE_FG) identified by this study. C. Violin plot showing the thinned up- (upper panel) and down-regulated (lower panel) NEPC signature by AUCell analysis.