Fig. 1: The Neural Network Architecture of PepNet.
From: Accurate de novo peptide sequencing using fully convolutional neural networks
The PepNet Network uses a series of temporal convolutional network (TCN) and down-sampling layers to encode the input MS/MS spectrum, from which the global and local information in the spectrum is fused into a single feature tensor and then decoded into the peptide sequence.
