Fig. 5: Visualization of each learning state of PepNet on the AMP test set. | Communications Biology

Fig. 5: Visualization of each learning state of PepNet on the AMP test set.

From: PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model

Fig. 5

This figure displays the visualization of the 2D t-SNE projections of the original features (A), pre-trained features (B), processed features by the residual dilated convolution block (C), the input (D) and the output (E) features of the residual Transformer block.

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