Competitive Fragmentation Modeling for Metabolite Identification (CFM-ID)
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Abstract
CFM-ID provides a method for accurately and efficiently identifying metabolites in spectra generated by electrospray tandem mass spectrometry (ESI-MS/MS). The program uses Competitive Fragmentation Modeling to produce a probabilistic generative model for the MS/MS fragmentation process and machine learning techniques to adapt the model parameters from data
felicity.allen@ualberta.ca
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