Before revision:  Then we use an order invariant network structure (T-Net) to extract features from the spectrum. By representing spectrums as sets of peaks, we argue that our method is more straightforward and do not have the accuracy-speed/memory trade-off problem .
After revision:  Then we use an order invariant network structure (T-Net) and recurrent neural networks and provides a complete end-to-end training and prediction framework to sequence patterns of peptides .