| iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences Z Chen, P Zhao, F Li, A Leier, TT Marquez-Lago, Y Wang, GI Webb, ... Bioinformatics 34 (14), 2499-2502, 2018 | 405 | 2018 |
| iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites J Song, Y Wang, F Li, T Akutsu, ND Rawlings, GI Webb, KC Chou Briefings in bioinformatics 20 (2), 638-658, 2019 | 202 | 2019 |
| Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences Z Chen, P Zhao, F Li, Y Wang, AI Smith, GI Webb, T Akutsu, A Baggag, ... Briefings in bioinformatics 21 (5), 1676-1696, 2020 | 78 | 2020 |
| Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods F Li, Y Wang, C Li, TT Marquez-Lago, A Leier, ND Rawlings, G Haffari, ... Briefings in bioinformatics 20 (6), 2150-2166, 2019 | 75 | 2019 |
| Procleave: predicting protease-specific substrate cleavage sites by combining sequence and structural information F Li, A Leier, Q Liu, Y Wang, D Xiang, T Akutsu, GI Webb, AI Smith, ... Genomics, proteomics & bioinformatics 18 (1), 52-64, 2020 | 54 | 2020 |
| A deep learning-based method for identification of bacteriophage-host interaction M Li, Y Wang, F Li, Y Zhao, M Liu, S Zhang, Y Bin, AI Smith, GI Webb, J Li, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (5 …, 2020 | 23 | 2020 |
| nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning YZ Chen, ZZ Wang, Y Wang, G Ying, Z Chen, J Song Briefings in Bioinformatics 22 (6), bbab146, 2021 | 21 | 2021 |
| Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites Y Wang, J Song, TT Marquez-Lago, A Leier, C Li, T Lithgow, GI Webb, ... Scientific reports 7 (1), 5755, 2017 | 18 | 2017 |
| The YEATS domain histone crotonylation readers control virulence-related biology of a major human pathogen Q Wang, J Verma, N Vidan, Y Wang, TM Tucey, TL Lo, PF Harrison, ... Cell reports 31 (3), 107528, 2020 | 17 | 2020 |
| HEAL: an automated deep learning framework for cancer histopathology image analysis Y Wang, N Coudray, Y Zhao, F Li, C Hu, YZ Zhang, S Imoto, A Tsirigos, ... Bioinformatics 37 (22), 4291-4295, 2021 | 12 | 2021 |
| DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases Y Wang, F Li, M Bharathwaj, NC Rosas, A Leier, T Akutsu, GI Webb, ... Briefings in Bioinformatics 22 (4), bbaa301, 2021 | 9 | 2021 |
| Cell graph neural networks enable the digital staging of tumor microenvironment and precise prediction of patient survival in gastric cancer Y Wang, YG Wang, C Hu, M Li, Y Fan, N Otter, I Sam, H Gou, Y Hu, ... medRxiv, 2021.09. 01.21262086, 2021 | 5 | 2021 |
| OCTID: a one-class learning-based Python package for tumor image detection Y Wang, L Yang, GI Webb, Z Ge, J Song Bioinformatics 37 (21), 3986-3988, 2021 | 4 | 2021 |
Jiangning (John) SongAssociate Professor, Biomedicine Discovery Institute and Data Futures Institute, Monash UniversityVerified email at monash.edu
