Skip to main content
. 2023 Oct 17;39(11):btad627. doi: 10.1093/bioinformatics/btad627

Figure 5.

Figure 5.

Dimension reduction of samples by PCA and UMAP. (A) and (E) are the PCA and UMAP visualizations of the handcrafted feature EAAC, respectively. (B–D) are the PCA visualizations of adaptive learning embedding features during the training process at 1, 20, and 100 epochs, respectively. (F–H) are the UMAP visualizations of adaptive learning embedding features during the training process at 1, 20, and 100 epochs, respectively