#machine learning
Sep 2025
Deep Learning-Driven Peptide Classification in Biological Nanopores
This work translates the peptide identification problem into an image-classification task by transforming each resistive pulse into a scaleogram via the continuous wavelet transform, a representation that jointly encodes amplitude, frequency, and time in a form well suited for deep convolutional models.
S. Tovey, Julian Hoßbach, Sandro Kuppel et al.
· arXiv.org · 1 citation