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Neural Network Approach to Matching of Mass Spectral Data
Researchers as TGen have developed methods and algorithms to improve the yield of identifiable protein sequences from mass spectrometry data. Using a Convolutional Neural Network (CNN) approach, proteins, peptides, and other small molecules can be classified and identified from mass spectrometry data with additional confidence in a high throughput...
Published: 3/22/2019   |   Inventor(s): Patrick Pirrotte, Gil Speyer, Ritin Sharma, Krystine Garcia-Mansfield
Category(s): Proteomics, Computer Methods