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SIAM Data Analysis via Mass Spectrometry by li.chen is a document available to read on EtoBox.

The document discusses the development of data analysis algorithms for stable isotope assisted metabolomics (SIAM) using high-resolution mass spectrometry. It details a comprehensive computational platform designed for the automatic analysis of SIAM data, including methods for isotopologue assignment and quantification. The effectiveness of the developed algorithms is demonstrated through applications in both known compound mixtures and biological studies, showcasing their accuracy in metabolite identificat

Author
li.chen
Language
EN