A Machine Learning Based Approach to de novo Sequencing of Glycans from Tandem Mass Spectrometry Spectrum

Mathematics

• Mass Spectrometry 100%
• Sequencing 77%
• Machine Learning 70%
• Ring 31%
• Oligosaccharides 29%
• Lagrangian Relaxation 22%
• Fragmentation 20%
• Support Vector Machine 20%
• Probable 19%
• Substructure 18%
• Computational Experiments 17%
• Training 17%
• Optimise 16%
• Dynamic Programming 16%
• Predict 14%
• Assignment 14%
• Internal 13%
• Model 5%

Engineering & Materials Science

• Mass spectrometry 82%
• Glycomics 61%
• Ions 59%
• Machine learning 47%
• Oligosaccharides 27%
• Dynamic programming 15%
• Relaxation 14%
• Support vector machines 12%
• Experiments 5%

Medicine & Life Sciences

• Machine Learning 73%
• Tandem Mass Spectrometry 70%
• Polysaccharides 60%
• Ions 15%
• Glycomics 14%
• Support Vector Machine 5%
• Oligosaccharides 5%
• Datasets 3%
• Technology 3%
• Databases 2%