Bioinformatics | Metabolomics CRISP: a deep learning architecture for GC × GC-TOFMS contour ROI identification, simulation and analysis in imaging metabolomics. January 13, 2022
Bioinformatics | Chemistry | Metabolomics MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra. December 24, 2021
Bioinformatics | Data Science | Metabolomics Multivariate analysis of NMR-based metabolomic data. November 5, 2021
Bioinformatics | Chemoinformatics | Metabolomics MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra. October 30, 2021
Bioinformatics | Foodomics | Metabolomics | Proteomics Diving Deep into the Data: A Review of Deep Learning Approaches and Potential Applications in Foodomics. August 27, 2021
Bioinformatics | Computational Biology | Metabolomics Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence. May 31, 2021
Bioinformatics | Life Sciences | Metabolomics SteroidXtract: Deep Learning-Based Pattern Recognition Enables Comprehensive and Rapid Extraction of Steroid-Like Metabolic Features for Automated Biology-Driven Metabolomics. March 30, 2021
Bioinformatics | Data Science | Metabolomics Lilikoi V2.0: a deep learning-enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data. January 23, 2021
Bioinformatics | Data Science | Metabolomics Deep metabolome: Applications of deep learning in metabolomics. November 2, 2020
Bioinformatics | Metabolomics Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches. October 13, 2020
Bioinformatics | Computational Biology | Metabolomics Deep learning meets metabolomics: a methodological perspective. September 17, 2020
Chemistry | Metabolomics Deep Learning Driven GC-MS Library Search and Its Application for Metabolomics. September 1, 2020