MS2DeepScore
Deep learning based similarity measure of mass spectrometry data.
Python library for fuzzy comparison of mass spectrum data and other Python objects
Matchms is an open-access Python package to import, process, clean, and compare mass spectrometry data (MS/MS). It allows to implement and run an easy-to-follow, easy-to-reproduce workflow from raw mass spectra to pre- and post-processed spectral data. Spectral data can be imported from common formats such mzML, mzXML, msp, metabolomics-USI, MGF, or json (e.g. GNPS-syle json files). Matchms then provides filters for metadata cleaning and checking, as well as for basic peak filtering. Finally, matchms was build to import and apply different similarity measures to compare large amounts of spectra. This includes common Cosine scores, but can also easily be extended by custom measures.
Advancing our understanding of molecular mechanisms of health and disease
Deep learning based similarity measure of mass spectrometry data.
spec2vec is a novel similarity measure for comparing mass spectrometry data, which learns peak representations using Word2Vec.