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A general scheme to identify unknown metabolites based on the molecular fingerprint vectors. There are two main stages, which are as follows: (1) learning a mapping from a molecule to the corresponding binary molecular fingerprint vector by classification methods, given a set of MS/MS spectra and fingerprints; (2) using the predicted fingerprints to retrieve candidate molecules from the databases of known metabolites.
