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MSpectraAI: A powerful platform for deciphering proteome profiling of multi‑tumor mass spectrometry data by using deep neural networks

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Mass spectrometry (MS) has become a promising analytical technique to acquire proteomics information for the characterization of biological samples. Nevertheless, most studies focus on the final proteins identified through a suite of algorithms by using partial MS spectra to compare with the sequence database, while the pattern recognition and classifcation of raw mass-spectrometric data remain unresolved. |