| 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 | 578 | 2018 |
| Cryptography with DNA binary strands A Leier, C Richter, W Banzhaf, H Rauhe Biosystems 57 (1), 13-22, 2000 | 379 | 2000 |
| iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data Z Chen, P Zhao, F Li, TT Marquez-Lago, A Leier, J Revote, Y Zhu, ... Briefings in bioinformatics 21 (3), 1047-1057, 2020 | 357 | 2020 |
| Oscillatory regulation of Hes1: discrete stochastic delay modelling and simulation M Barrio, K Burrage, A Leier, T Tian PLoS computational biology 2 (9), e117, 2006 | 327 | 2006 |
| POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles J Wang, B Yang, J Revote, A Leier, TT Marquez-Lago, G Webb, J Song, ... Bioinformatics 33 (17), 2756-2758, 2017 | 188 | 2017 |
| Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome F Li, C Li, TT Marquez-Lago, A Leier, T Akutsu, AW Purcell, A Ian Smith, ... Bioinformatics 34 (24), 4223-4231, 2018 | 164 | 2018 |
| PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy J Song, F Li, A Leier, TT Marquez-Lago, T Akutsu, G Haffari, KC Chou, ... Bioinformatics 34 (4), 684-687, 2018 | 160 | 2018 |
| A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction S Mei, F Li, A Leier, TT Marquez-Lago, K Giam, NP Croft, T Akutsu, ... Briefings in bioinformatics 21 (4), 1119-1135, 2020 | 155 | 2020 |
| Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence PD Kuo, W Banzhaf, A Leier Biosystems 85 (3), 177-200, 2006 | 133 | 2006 |
| Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors J Wang, B Yang, A Leier, TT Marquez-Lago, M Hayashida, A Rocker, ... Bioinformatics 34 (15), 2546-2555, 2018 | 125 | 2018 |
| MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters M Zhang, F Li, TT Marquez-Lago, A Leier, C Fan, CK Kwoh, KC Chou, ... Bioinformatics 35 (17), 2957-2965, 2019 | 119 | 2019 |
| DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites F Li, J Chen, A Leier, T Marquez-Lago, Q Liu, Y Wang, J Revote, AI Smith, ... Bioinformatics 36 (4), 1057-1065, 2020 | 117 | 2020 |
| Large-scale comparative assessment of computational predictors for lysine post-translational modification sites Z Chen, X Liu, F Li, C Li, T Marquez-Lago, A Leier, T Akutsu, GI Webb, ... Briefings in bioinformatics 20 (6), 2267-2290, 2019 | 117 | 2019 |
| Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework Y Zhang, R Xie, J Wang, A Leier, TT Marquez-Lago, T Akutsu, GI Webb, ... Briefings in bioinformatics 20 (6), 2185-2199, 2019 | 101 | 2019 |
| PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection J Song, H Wang, J Wang, A Leier, T Marquez-Lago, B Yang, Z Zhang, ... Scientific reports 7 (1), 6862, 2017 | 100 | 2017 |
| 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 | 96 | 2019 |
| Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides J Xu, F Li, A Leier, D Xiang, HH Shen, TT Marquez Lago, J Li, DJ Yu, ... Briefings in bioinformatics 22 (5), bbab083, 2021 | 94 | 2021 |
| 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 and Bioinformatics 18 (1), 52-64, 2020 | 91 | 2020 |
| Bastion3: a two-layer ensemble predictor of type III secreted effectors J Wang, J Li, B Yang, R Xie, TT Marquez-Lago, A Leier, M Hayashida, ... Bioinformatics 35 (12), 2017-2028, 2019 | 81 | 2019 |
| Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches J Wang, B Yang, Y An, T Marquez-Lago, A Leier, J Wilksch, Q Hong, ... Briefings in bioinformatics 20 (3), 931-951, 2019 | 72 | 2019 |
Jiangning (John) SongProfessor, Biomedicine Discovery Institute and Data Futures Institute, Monash UniversityVerified email at monash.edu
