Mass spectrometry technique is already known for its targeted, non-targeted and high throughput abilities that give it a great potential as a tool for proteomics data analysis. However, the quantification and identification methods that are used generate large amounts of data. At this point, a computational approach is required, and machine learning is one of Read more about Classification and identification of proteomic biomarkers with Machine Learning[…]