| 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 | 606 | 2018 |
| 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 | 378 | 2020 |
| Prediction of Ubiquitination Sites by Using the Composition of k-Spaced Amino Acid Pairs Z Chen, YZ Chen, XF Wang, C Wang, RX Yan, Z Zhang PloS one 6 (7), e22930, 2011 | 211 | 2011 |
| 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, GI Webb, ... Nucleic acids research 49 (10), e60-e60, 2021 | 183 | 2021 |
| hCKSAAP_UbSite: improved prediction of human ubiquitination sites by exploiting amino acid pattern and properties Z Chen, Y Zhou, J Song, Z Zhang Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1834 (8), 1461-1467, 2013 | 131 | 2013 |
| 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 | 129 | 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 | 122 | 2019 |
| BERMP: a cross-species classifier for predicting m6A sites by integrating a deep learning algorithm and a random forest approach Y Huang, N He, Y Chen, Z Chen, L Li International journal of biological sciences 14 (12), 1669, 2018 | 98 | 2018 |
| Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features Z Chen, Y Zhou, Z Zhang, J Song Briefings in bioinformatics 16 (4), 640-657, 2015 | 98 | 2015 |
| Integration of a deep learning classifier with a random forest approach for predicting malonylation sites Z Chen, N He, Y Huang, WT Qin, X Liu, L Li Genomics, proteomics and bioinformatics 16 (6), 451-459, 2018 | 95 | 2018 |
| Comparative genome and transcriptome analyses reveal adaptations to opportunistic infections in woody plant degrading pathogens of Botryosphaeriaceae JY Yan, WS Zhao, Z Chen, QK Xing, W Zhang, KWT Chethana, MF Xue, ... DNA Research 25 (1), 87-102, 2018 | 82 | 2018 |
| SUMOhydro: a novel method for the prediction of sumoylation sites based on hydrophobic properties YZ Chen, Z Chen, YA Gong, G Ying PloS one 7 (6), e39195, 2012 | 82 | 2012 |
| Predicting residue-residue contacts and helix-helix interactions in transmembrane proteins using an integrative feature-based random forest approach XF Wang, Z Chen, C Wang, RX Yan, Z Zhang, J Song PloS one 6 (10), e26767, 2011 | 62 | 2011 |
| 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, RB Gasser, ... Nucleic acids research 50 (W1), W434-W447, 2022 | 53 | 2022 |
| ZincExplorer: an accurate hybrid method to improve the prediction of zinc-binding sites from protein sequences Z Chen, Y Wang, YF Zhai, J Song, Z Zhang Molecular BioSystems 9 (9), 2213-2222, 2013 | 50 | 2013 |
| 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 | 40 | 2021 |
| Identification of protein lysine crotonylation sites by a deep learning framework with convolutional neural networks Y Zhao, N He, Z Chen, L Li Ieee Access 8, 14244-14252, 2020 | 31 | 2020 |
| Prediction of protein ubiquitination sites in Arabidopsis thaliana J Chen, J Zhao, S Yang, Z Chen, Z Zhang Current Bioinformatics 14 (7), 614-620, 2019 | 28 | 2019 |
| PROSPECT: a web server for predicting protein histidine phosphorylation sites Z Chen, P Zhao, F Li, A Leier, TT Marquez-Lago, GI Webb, A Baggag, ... Journal of Bioinformatics and Computational Biology 18 (04), 2050018, 2020 | 24 | 2020 |
| Outer membrane proteins can be simply identified using secondary structure element alignment RX Yan, Z Chen, Z Zhang BMC bioinformatics 12, 1-9, 2011 | 23 | 2011 |
