| Identifying tweets of personal health experience through word embedding and LSTM neural network K Jiang, S Feng, Q Song, RA Calix, M Gupta, GR Bernard BMC bioinformatics 19, 67-74, 2018 | 55 | 2018 |
| Deep learning for peptide identification from metaproteomics datasets S Feng, R Sterzenbach, X Guo Journal of proteomics 247, 104316, 2021 | 7 | 2021 |
| Assessment of word embedding techniques for identification of personal experience tweets pertaining to medication uses K Jiang, S Feng, RA Calix, GR Bernard Precision Health and Medicine: A Digital Revolution in Healthcare, 45-55, 2020 | 7 | 2020 |
| Mining potential effects of HUMIRA in Twitter posts through relational similarity K Jiang, S Feng, L Huang, T Chen, GR Bernard Digital Personalized Health and Medicine, 874-878, 2020 | 3 | 2020 |
| Detecting personal experience tweets for health surveillance using unsupervised feature learning and recurrent neural networks S Feng, K Jiang, J Li, RA Calix, M Gupta Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 1 | 2018 |
| CloudProteoAnalyzer: scalable processing of big data from proteomics using cloud computing J Li, Y Xiong, S Feng, C Pan, X Guo Bioinformatics Advances, vbae024, 2024 | | 2024 |
| FineFDR: Fine-grained Taxonomy-specific False Discovery Rates Control in Metaproteomics S Wang, S Feng, C Pan, X Guo 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | | 2022 |
| MetaLP: An integrative linear programming method for protein inference in metaproteomics S Feng, HL Ji, H Wang, B Zhang, R Sterzenbach, C Pan, X Guo PLOS Computational Biology 18 (10), e1010603, 2022 | | 2022 |
Xuan GuoAssociate Professor of Computer Science and Engineering, University of North TexasVerified email at unt.edu
