| iDNA-Prot| dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition B Liu, J Xu, X Lan, R Xu, J Zhou, X Wang, KC Chou PloS one 9 (9), e106691, 2014 | 321 | 2014 |
| PseDNA‐Pro: DNA‐binding protein identification by combining Chou’s PseAAC and physicochemical distance transformation B Liu, J Xu, S Fan, R Xu, J Zhou, X Wang Molecular Informatics 34 (1), 8-17, 2015 | 176 | 2015 |
| Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation R Xu, J Zhou, H Wang, Y He, X Wang, B Liu BMC systems biology 9, 1-12, 2015 | 106 | 2015 |
| Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach R Xu, J Zhou, B Liu, Y He, Q Zou, X Wang, KC Chou Journal of Biomolecular Structure and Dynamics 33 (8), 1720-1730, 2015 | 101 | 2015 |
| CNNH_PSS: protein 8-class secondary structure prediction by convolutional neural network with highway J Zhou, H Wang, Z Zhao, R Xu, Q Lu BMC bioinformatics 19, 99-109, 2018 | 56 | 2018 |
| CNNsite: Prediction of DNA-binding residues in proteins using Convolutional Neural Network with sequence features J Zhou, Q Lu, R Xu, L Gui, H Wang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 45 | 2016 |
| enDNA‐Prot: identification of DNA‐binding proteins by applying ensemble learning R Xu, J Zhou, B Liu, L Yao, Y He, Q Zou, X Wang BioMed Research International 2014 (1), 294279, 2014 | 42 | 2014 |
| Multi task mutual learning for joint sentiment classification and topic detection L Gui, J Leng, J Zhou, R Xu, Y He IEEE Transactions on Knowledge and Data Engineering 34 (4), 1915-1927, 2020 | 37 | 2020 |
| EL_LSTM: prediction of DNA-binding residue from protein sequence by combining long short-term memory and ensemble learning J Zhou, Q Lu, R Xu, L Gui, H Wang IEEE/ACM transactions on computational biology and bioinformatics 17 (1 …, 2018 | 35 | 2018 |
| EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM relation transformation J Zhou, Q Lu, R Xu, Y He, H Wang BMC bioinformatics 18, 1-16, 2017 | 33 | 2017 |
| MTTFsite: cross-cell type TF binding site prediction by using multi-task learning J Zhou, Q Lu, L Gui, R Xu, Y Long, H Wang Bioinformatics 35 (24), 5067-5077, 2019 | 29 | 2019 |
| Detecting fake reviews using multidimensional representations with fine-grained aspects plan M Liu, Y Shang, Q Yue, J Zhou Ieee Access 9, 3765-3773, 2020 | 27 | 2020 |
| PDNAsite: identification of DNA-binding site from protein sequence by incorporating spatial and sequence context J Zhou, R Xu, Y He, Q Lu, H Wang, B Kong Scientific reports 6 (1), 27653, 2016 | 20 | 2016 |
| Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders J Zhou, Q Chen, PR Braun, KA Perzel Mandell, AE Jaffe, HY Tan, ... Proceedings of the National Academy of Sciences 119 (34), e2206069119, 2022 | 19 | 2022 |
| Cross-cell-type prediction of TF-binding site by integrating convolutional neural network and adversarial network G Lan, J Zhou, R Xu, Q Lu, H Wang International journal of molecular sciences 20 (14), 3425, 2019 | 17 | 2019 |
| A mixed model for cross lingual opinion analysis L Gui, R Xu, J Xu, L Yuan, Y Yao, J Zhou, Q Qiu, S Wang, KF Wong, ... CCF International Conference on Natural Language Processing and Chinese …, 2013 | 17 | 2013 |
| T-bert: A spam review detection model combining group intelligence and personalized sentiment information Y Shang, M Liu, T Zhao, J Zhou International Conference on Artificial Neural Networks, 409-421, 2021 | 14 | 2021 |
| Prediction of TF-binding site by inclusion of higher order position dependencies J Zhou, Q Lu, R Xu, L Gui, H Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics 17 (4 …, 2019 | 12 | 2019 |
| PTWA: pre-training with word attention for chinese named entity recognition K Ma, M Liu, T Zhao, J Zhou, Y Yu 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disorders J Zhou, DR Weinberger, S Han Science Advances 11 (1), eadn1870, 2025 | 1 | 2025 |
Ruifeng XuProfessor, Harbin Institute of Technology at ShenzhenOverená e-mailová adresa na: hit.edu.cn
