| Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry NH Tran, R Qiao, L Xin, X Chen, C Liu, X Zhang, B Shan, A Ghodsi, M Li Nature methods 16 (1), 63-66, 2019 | 307 | 2019 |
| Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices R Qiao, NH Tran, L Xin, X Chen, M Li, B Shan, A Ghodsi Nature Machine Intelligence 3 (5), 420-425, 2021 | 59 | 2021 |
| A streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics L Xin, R Qiao, X Chen, H Tran, S Pan, S Rabinoviz, H Bian, X He, B Morse, ... Nature Communications 13 (1), 3108, 2022 | 51 | 2022 |
| Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines NH Tran, R Qiao, L Xin, X Chen, B Shan, M Li Nature Machine Intelligence 2 (12), 764-771, 2020 | 33 | 2020 |
| Simple weakly supervised deep learning pipeline for detecting individual red-attacked trees in VHR remote sensing images R Qiao, A Ghodsi, H Wu, Y Chang, C Wang Remote Sensing Letters 11 (7), 650-658, 2020 | 26 | 2020 |
| Deepnovov2: Better de novo peptide sequencing with deep learning R Qiao, NH Tran, L Xin, B Shan, M Li, A Ghodsi arXiv preprint arXiv:1904.08514, 2019 | 18 | 2019 |
| Personalized workflow to identify optimal T-cell epitopes for peptide-based vaccines against COVID-19 R Qiao, NH Tran, B Shan, A Ghodsi, M Li arXiv preprint arXiv:2003.10650, 2020 | 11 | 2020 |
| Systems and methods for patient-specific identification of neoantigens by de novo peptide sequencing for personalized immunotherapy R Qiao, NH Tran, XIN Lei, X Chen, S Baozhen, M Li US Patent App. 16/775,947, 2020 | 3 | 2020 |
| Peptide sequencing with deep learning R Qiao University of Waterloo, 2020 | 2 | 2020 |
| Identifying neoantigens for cancer vaccines by personalized deep learning of individual immunopeptidomes NH Tran, R Qiao, L Xin, X Chen, B Shan, M Li Nat. Mach. Intell 2, 764-771, 2019 | 2 | 2019 |
| Systems and methods for de novo peptide sequencing using deep learning and spectrum pairs R Qiao, NH Tran, XIN Lei, X Chen, S Baozhen, A Ghodsi, M Li US Patent 11,644,470, 2023 | 1 | 2023 |
| Discovering and Validating Neoantigens by Mass Spectrometry-based Immunopeptidomics and Deep Learning NH Tran, C Peng, Q Lei, L Xin, J Lang, Q Zhang, W Li, H Miao, P Wu, ... bioRxiv, 2022.07. 05.497667, 2022 | 1 | 2022 |
| NovoBoard: a comprehensive framework for evaluating the false discovery rate and accuracy of de novo peptide sequencing NH Tran, R Qiao, Z Mao, S Pan, Q Zhang, W Li, L Xin, M Li, B Shan bioRxiv, 2024.04. 16.589668, 2024 | | 2024 |
| A complete mass spectrometry-based immunopeptidomics pipeline for neoantigen identification and validation M Li, NH Tran, C Peng, Q Lei, L Xin, J Lang, Q Zhang, W Li, R Qiao, H Qin, ... | | 2023 |
| Systems and methods for de novo peptide sequencing from data-independent acquisition using deep learning S Baozhen, NH Tran, M Li, XIN Lei, R Qiao, X Chen, C Liu US Patent 11,694,769, 2023 | | 2023 |
| Determining Appropriate Score Thresholds using DeepNovo R Qiao, L Xin, S Pan, X Wei, X Chen, JR Krieger, B Shan | | |
Ngoc Hieu TranCheriton School of Computer Science, University of Waterloo, Canada在 uwaterloo.ca 的电子邮件经过验证
