WinnowNet

WinnowNet is designed for advanced processing of mass spectrometry data with two core methods: a CNN-based approach and a self-attention-based approach. The repository includes scripts for feature extraction, model training, prediction (inference), and evaluation. A toy example is included to help users get started. This repository contains the development version of WinnowNet. For the code used to reproduce the experiments in the paper, please refer to the following repository: https://github.com/Biocomputing-Research-Group/WinnowNet4Review