Machine Learning

The Age of Data-Driven Proteomics: How Machine Learning Enables Novel Workflows

A lot of energy in the field of proteomics is dedicated to the application of challenging experimental workflows, which include metaproteomics, proteogenomics, data independent acquisition (DIA), non-specific proteolysis, immunopeptidomics, and open …

MS²PIP: Predicting peptide spectrum peak intensities to improve proteomics identification

MS²PIP : fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques

An important step in high-throughput mass spectrometry-based proteomics is the correct identification of peptide MS² fragmentation spectra. Due to incomplete understanding of the fragmentation process and unpredictable machine noise, matching MS² …

Fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques

Awards: Best presentation

Fast and accurate MS² peak intensity predictions for multiple fragmentation methods, instruments and labeling techniques

Awards: Best presentation

MS² peak intensity prediction for specific PTMs, fragmentation techniques and instruments

Awards: 2nd best presentation