| De novo peptide sequencing by deep learning NH Tran, X Zhang, L Xin, B Shan, M Li Proceedings of the National Academy of Sciences, 2017 | 404 | 2017 |
| 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 | 311 | 2019 |
| Complete De Novo Assembly of Monoclonal Antibody Sequences NH Tran, MZ Rahman, L He, L Xin, B Shan, M Li Scientific Reports, 2016 | 142 | 2016 |
| 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, 1-6, 2021 | 76* | 2021 |
| DeepIso: A Deep Learning Model for Peptide Feature Detection from LC-MS map FT Zohora, MZ Rahman, NH Tran, L Xin, B Shan, M Li Scientific Reports 9 (1), 1-13, 2019 | 64 | 2019 |
| Counting motifs in the human interactome NH Tran, KP Choi, L Zhang Nature communications, 2013 | 63 | 2013 |
| 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), 1-9, 2022 | 52 | 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 | 36 | 2020 |
| Profiling the transcription factor regulatory networks of human cell types S Zhang, D Tian, NH Tran, KP Choi, L Zhang Nucleic acids research, 2014 | 24 | 2014 |
| Comparison of next-generation sequencing samples using compression-based distances and its application to phylogenetic reconstruction NH Tran, X Chen BMC research notes, 2014 | 18 | 2014 |
| Deep Omics NH Tran, X Zhang, M Li Proteomics 18 (2), 1700319, 2018 | 16 | 2018 |
| A tale of solving two computational challenges in protein science: neoantigen prediction and protein structure prediction NH Tran, J Xu, M Li Briefings in Bioinformatics 23 (1), bbab493, 2022 | 13 | 2022 |
| Methods and systems for de novo peptide sequencing using deep learning B Shan, NH Tran, M Li, L Xin, X Zhang US Patent App. 16/037,949, 2019 | 12* | 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 |
| AMAS: optimizing the partition and filtration of adaptive seeds to speed up read mapping NH Tran, X Chen IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015 | 9* | 2015 |
| Genetic landscape of recessive diseases in the Vietnamese population from large‐scale clinical exome sequencing NH Tran, TH Nguyen Thi, HS Tang, LP Hoang, THL Nguyen, NT Tran, ... Human Mutation 42 (10), 1229-1238, 2021 | 8 | 2021 |
| Glycopeptide database search and de novo sequencing with PEAKS GlycanFinder enable highly sensitive glycoproteomics W Sun, Q Zhang, X Zhang, NH Tran, M Ziaur Rahman, Z Chen, C Peng, ... Nature Communications 14 (1), 4046, 2023 | 7 | 2023 |
| Genetic profiling of Vietnamese population from large-scale genomic analysis of non-invasive prenatal testing data NH Tran, TB Vo, VT Nguyen, NT Tran, THN Trinh, HAT Pham, THT Dao, ... Scientific reports 10 (1), 1-8, 2020 | 7* | 2020 |
| Methods and systems for assembly of protein sequences NH Tran, MZ Rahman, L He, L Xin, B Shan, M Li US Patent App. 15/599,431, 2017 | 7 | 2017 |
| Protein identification with deep learning: from abc to xyz NH Tran, Z Levine, L Xin, B Shan, M Li arXiv preprint arXiv:1710.02765, 2017 | 6 | 2017 |
Xin ChenNanyang Technolgical University在 ntu.edu.sg 的电子邮件经过验证
