| ISFrag: de novo recognition of in-Source fragments for liquid chromatography–mass spectrometry data J Guo, S Shen, S Xing, H Yu, T Huan Analytical Chemistry 93 (29), 10243-10250, 2021 | 29 | 2021 |
| Fold-change compression: an unexplored but correctable quantitative bias caused by nonlinear electrospray ionization responses in untargeted metabolomics H Yu, S Xing, L Nierves, PF Lange, T Huan Analytical chemistry 92 (10), 7011-7019, 2020 | 28 | 2020 |
| EVA: evaluation of metabolic feature fidelity using a deep learning model trained with over 25000 extracted ion chromatograms J Guo, S Shen, S Xing, Y Chen, F Chen, EM Porter, H Yu, T Huan Analytical Chemistry 93 (36), 12181-12186, 2021 | 26 | 2021 |
| Global-scale metabolomic profiling of human hair for simultaneous monitoring of endogenous metabolome, short-and long-term exposome Y Chen, J Guo, S Xing, H Yu, T Huan Frontiers in Chemistry 9, 674265, 2021 | 22 | 2021 |
| Parallel metabolomics and lipidomics enables the comprehensive study of mouse brain regional metabolite and lipid patterns H Yu, N Villanueva, T Bittar, E Arsenault, B Labonté, T Huan Analytica chimica acta 1136, 168-177, 2020 | 19 | 2020 |
| Addressing big data challenges in mass spectrometry-based metabolomics J Guo, H Yu, S Xing, T Huan Chemical Communications 58 (72), 9979-9990, 2022 | 16 | 2022 |
| Computational variation: an underinvestigated quantitative variability caused by automated data processing in untargeted metabolomics H Yu, Y Chen, T Huan Analytical Chemistry 93 (25), 8719-8728, 2021 | 15 | 2021 |
| Recognizing contamination fragment ions in liquid chromatography–tandem mass spectrometry data S Xing, H Yu, M Liu, Q Jia, Z Sun, M Fang, T Huan Journal of the American Society for Mass Spectrometry 32 (9), 2296-2305, 2021 | 15 | 2021 |
| Patterned signal ratio biases in mass spectrometry-based quantitative metabolomics H Yu, T Huan Analytical chemistry 93 (4), 2254-2262, 2021 | 15 | 2021 |
| Comprehensive assessment of the diminished statistical power caused by nonlinear electrospray ionization responses in mass spectrometry-based metabolomics H Yu, T Huan Analytica chimica acta 1200, 339614, 2022 | 12 | 2022 |
| MAFFIN: metabolomics sample normalization using maximal density fold change with high-quality metabolic features and corrected signal intensities H Yu, T Huan Bioinformatics 38 (13), 3429-3437, 2022 | 9 | 2022 |
| Adaptive box–cox transformation: A highly flexible feature-specific data transformation to improve metabolomic data normality for better statistical analysis H Yu, P Sang, T Huan Analytical Chemistry 94 (23), 8267-8276, 2022 | 9 | 2022 |
| Quantitative challenges and their bioinformatic solutions in mass spectrometry-based metabolomics H Yu, B Low, Z Zhang, J Guo, T Huan TrAC Trends in Analytical Chemistry 161, 117009, 2023 | 8 | 2023 |
| JPA: joint metabolic feature extraction increases the depth of chemical coverage for LC-MS-Based metabolomics and exposomics J Guo, S Shen, M Liu, C Wang, B Low, Y Chen, Y Hu, S Xing, H Yu, Y Gao, ... Metabolites 12 (3), 212, 2022 | 8 | 2022 |
| Lymphatic endothelial-like cells promote glioblastoma stem cell growth through cytokine-driven cholesterol metabolism L Zhao, Z Qiu, Z Yang, L Xu, TM Pearce, Q Wu, K Yang, FL Li, O Saulnier, ... Nature Cancer, 1-20, 2024 | 3 | 2024 |
| De Novo Cleaning of Chimeric MS/MS Spectra for LC-MS/MS-Based Metabolomics T Zhao, S Xing, H Yu, T Huan Analytical Chemistry 95 (35), 13018-13028, 2023 | 1 | 2023 |
| Capture of Endogenous Lipids in Peptidiscs and Effect on Protein Stability and Activity RS Jandu, H Yu, Z Zhao, HT Le, S Kim, T Huan, FD van Hoa iScience, 2024 | | 2024 |
| Reducing Quantitative Uncertainty Caused by Data Processing in Untargeted Metabolomics Z Zhang, H Yu, E Wong-Ma, P Dokouhaki, A Mostafa, JS Shavadia, F Wu, ... Analytical Chemistry, 2024 | | 2024 |
| ChloroDBPFinder: Machine Learning-Guided Recognition of Chlorinated Disinfection Byproducts from Nontargeted LC-HRMS Analysis T Zhao, NJP Wawryk, S Xing, B Low, G Li, H Yu, Y Wang, Q Shen, XF Li, ... Analytical Chemistry, 2024 | | 2024 |
| Bayesian optimization of separation gradients to maximize the performance of untargeted LC-MS H Yu, P Biswas, E Rideout, Y Cao, T Huan bioRxiv, 2023.09. 08.556930, 2023 | | 2023 |
Tao HuanProfessor of Chemistry, University of British ColumbiaVerified email at chem.ubc.ca
