2 papers
cs.LG2026
dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra
Alfred Nilsson, Joel Lapin, Samuel H. Payne +2
We introduce a novel invariance for peptide tandem mass spectrometry data, unlocking self-supervised representation learning that improves de novo sequencing of peptides. This inva…
q-bio.GN2025
ProHap Explorer: Visualizing Haplotypes in Proteogenomic Datasets
Jakub Vašíček, Dafni Skiadopoulou, Ksenia G. Kuznetsova +3
In mass spectrometry-based proteomics, experts usually project data onto a single set of reference sequences, overlooking the influence of common haplotypes (combinations of geneti…