| GlycoMine: a machine learning-based approach for predicting N-, C-and O-linked glycosylation in the human proteome F Li*, C Li*, M Wang, GI Webb, Y Zhang, JC Whisstock, J Song Bioinformatics 31 (9), 1411-1419, 2015 | 193 | 2015 |
| iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization Z Chen*, P Zhao*, C Li*, F Li, D Xiang, YZ Chen, T Akutsu, RJ Daly, ... Nucleic Acid Research, 2021 | 175 | 2021 |
| 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, AI Smith, ... Bioinformatics 1, 9, 2018 | 166 | 2018 |
| A subset of HLA-I peptides are not genomically templated: Evidence for cis-and trans-spliced peptide ligands P Faridi, C Li, SH Ramarathinam, JP Vivian, PT Illing, NA Mifsud, R Ayala, ... Science immunology 3 (28), eaar3947, 2018 | 160 | 2018 |
| 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 | 122 | 2019 |
| 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 |
| GlycoMine struct: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features F Li*, C Li*, J Revote, Y Zhang, GI Webb, J Li, J Song, T Lithgow Scientific reports 6 (1), 1-16, 2016 | 85 | 2016 |
| Positive-unlabelled learning of glycosylation sites in the human proteome F Li, Y Zhang, AW Purcell, GI Webb, KC Chou, T Lithgow, C Li*, J Song* BMC bioinformatics 20 (1), 1-17, 2019 | 78 | 2019 |
| Regulating polymyxin resistance in Gram-negative bacteria: roles of two-component systems PhoPQ and PmrAB J Huang, C Li, J Song, T Velkov, L Wang, Y Zhu, J Li Future Microbiology 15 (6), 445-459, 2020 | 72 | 2020 |
| OcVFDT: one-class very fast decision tree for one-class classification of data streams C Li, Y Zhang, X Li KDD 2009 Workshop on Knowledge Discovery from Sensor Data, 79-86, 2009 | 66 | 2009 |
| Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI Y An*, J Wang*, C Li*, A Leier, T Marquez-Lago, J Wilksch, Y Zhang, ... Briefings in bioinformatics 19 (1), 148-161, 2018 | 65 | 2018 |
| Spliced Peptides and Cytokine-Driven Changes in the Immunopeptidome of Melanoma P Faridi, K Woods, S Ostrouska, C Deceneux, R Aranha, D Duscharla, ... Cancer Immunology Research 8 (10), 2020 | 54 | 2020 |
| Positive-unlabeled learning in bioinformatics and computational biology: a brief review F Li, S Dong, A Leier, M Han, X Guo, J Xu, X Wang, S Pan, C Jia, Y Zhang, ... Briefings in Bioinformatics, 2022 | 53 | 2022 |
| iFeatureOmega an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets Z Chen*, X Liu*, P Zhao*, C Li*, Y Wang, F Li, T Akutsu, C Bain, ... Nucleic Acids Research, 2022 | 48 | 2022 |
| PCprophet: a framework for protein complex prediction and differential analysis using proteomic data A Fossati*, C Li*†, F Uliana, F Wendt, F Frommelt, P Sykacek, M Heusel, ... Nature Methods, 2021 | 47 | 2021 |
| SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systems Y An, J Wang, C Li, J Revote, Y Zhang, T Naderer, M Hayashida, T Akutsu, ... Scientific reports 7 (1), 41031, 2017 | 45 | 2017 |
| ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets KA Mullan*, LM Bramberger, PR Munday, G Goncalves, J Revote, ... Computational and Structural Biotechnology Journal 19, 5735-5740, 2021 | 38 | 2021 |
| The α-importome of mammalian germ cell maturation provides novel insights for importin biology A Arjomand, MA Baker, C Li, AM Buckle, DA Jans, KL Loveland, ... The FASEB Journal 28 (8), 3480-3493, 2014 | 32 | 2014 |
| iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities J Xu, F Li, C Li, X Guo, C Landersdorfer, HH Shen, AY Peleg, J Li, ... Briefings in Bioinformatics, 2023 | 31 | 2023 |
| SPAR: a random forest-based predictor for self-interacting proteins with fine-grained domain information X Liu, S Yang, C Li, Z Zhang, J Song Amino Acids 48, 1655-1665, 2016 | 31 | 2016 |
Jiangning (John) SongProfessor, Monash Biomedicine Discovery Institute, Monash Universityยืนยันอีเมลแล้วที่ monash.edu
