| csDMA: an improved bioinformatics tool for identifying DNA 6 mA modifications via Chou’s 5-step rule Z Liu, W Dong, W Jiang, Z He Scientific reports 9 (1), 13109, 2019 | 38 | 2019 |
| m7GPredictor: An improved machine learning-based model for predicting internal m7G modifications using sequence properties X Liu, Z Liu, X Mao, Q Li Analytical biochemistry 609, 113905, 2020 | 23 | 2020 |
| Computational identification of circular RNAs based on conformational and thermodynamic properties in the flanking introns Z Liu, J Han, H Lv, J Liu, R Liu Computational biology and chemistry 61, 221-225, 2016 | 19 | 2016 |
| A brief review of numerical solving methods for internal fluid of pumped storage unit X Mao, Z Liu, T Li, G Mao, D Chen International journal of energy research 44 (10), 7886-7902, 2020 | 14 | 2020 |
| HLMethy: a machine learning-based model to identify the hidden labels of m6A candidates Z Liu, W Dong, WJ Luo, W Jiang, QW Li, ZL He Plant molecular biology 101, 575-584, 2019 | 4 | 2019 |
| A hybrid model for the prediction of mRNA polyadenylation signals J Han, Z Liu, D Zhong, T Wang 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 4 | 2013 |
| ANOX: A robust computational model for predicting the antioxidant proteins based on multiple features D Sun, Z Liu, X Mao, Z Yang, C Ji, Y Liu, S Wang Analytical Biochemistry 631, 114257, 2021 | 3 | 2021 |
| A computational model for predicting transmembrane regions of retroviruses Z Liu, H Lv, J Han, R Liu Journal of Bioinformatics and Computational Biology 15 (03), 1750010, 2017 | 2 | 2017 |
| m6ABRP: Predicting m6A-YTHDF2 Binding Regions via Sequence-based Properties Z Liu, J Xu, X Mao, J Qi, Q Li Proceedings of the 2020 9th International Conference on Bioinformatics and …, 2020 | | 2020 |
