| Predicting hot spots in protein interfaces based on protrusion index, pseudo hydrophobicity and electron-ion interaction pseudopotential features J Xia, Z Yue, Y Di, X Zhu, CH Zheng Oncotarget 7 (14), 18065, 2016 | 31 | 2016 |
| PredCID: prediction of driver frameshift indels in human cancer Z Yue, X Chu, J Xia Briefings in Bioinformatics 22 (3), bbaa119, 2021 | 30 | 2021 |
| Identification of breast cancer candidate genes using gene co-expression and protein-protein interaction information Z Yue, HT Li, Y Yang, S Hussain, CH Zheng, J Xia, Y Chen Oncotarget 7 (24), 36092, 2016 | 27 | 2016 |
| dbCPM: a manually curated database for exploring the cancer passenger mutations Z Yue, L Zhao, J Xia Briefings in Bioinformatics 21 (1), 309-317, 2020 | 24 | 2020 |
| RicENN: prediction of rice enhancers with neural network based on DNA sequences Y Gao, Y Chen, H Feng, Y Zhang, Z Yue Interdisciplinary Sciences: Computational Life Sciences 14 (2), 555-565, 2022 | 16 | 2022 |
| dbCID: a manually curated resource for exploring the driver indels in human cancer Z Yue, L Zhao, N Cheng, H Yan, J Xia Briefings in Bioinformatics 20 (5), 1925-1933, 2019 | 15 | 2019 |
| Prediction of cancer cell sensitivity to natural products based on genomic and chemical properties Z Yue, W Zhang, Y Lu, Q Yang, Q Ding, J Xia, Y Chen PeerJ 3, e1425, 2015 | 15 | 2015 |
| Prediction of radiosensitivity in head and neck squamous cell carcinoma based on multiple omics data J Liu, M Han, Z Yue, C Dong, P Wen, G Zhao, L Wu, J Xia, Y Bin Frontiers in Genetics 11, 960, 2020 | 11 | 2020 |
| Identification of candidate genes related to pancreatic cancer based on analysis of gene co-expression and protein-protein interaction network T Zhang, X Wang, Z Yue Oncotarget 8 (41), 71105, 2017 | 11 | 2017 |
| Named entity recognition of rice genes and phenotypes based on BiGRU neural networks K Wu, L Xu, X Li, Y Zhang, Z Yue, Y Gao, Y Chen Computational Biology and Chemistry 108, 107977, 2024 | 10 | 2024 |
| Building a natural language query and control interface for IoT platforms Z Xu, H Wu, X Chen, Y Wang, Z Yue IEEE Access 10, 68655-68668, 2022 | 10 | 2022 |
| dbMCS: A database for exploring the mutation markers of anti-cancer drug sensitivity Y Shen, Y Zhang, W Xue, Z Yue IEEE Journal of Biomedical and Health Informatics 25 (11), 4229-4237, 2021 | 7 | 2021 |
| AthEDL: identifying enhancers in Arabidopsis thaliana using an attention-based deep learning method Y Chen, Y Gao, H Zhou, Y Zuo, Y Zhang, Z Yue Current Bioinformatics 17 (6), 531-540, 2022 | 5 | 2022 |
| IdentPMP: identification of moonlighting proteins in plants using sequence-based learning models X Liu, Y Shen, Y Zhang, F Liu, Z Ma, Z Yue, Y Yue PeerJ 9, e11900, 2021 | 5 | 2021 |
| Reusability report: Uncovering associations in biomedical bipartite networks via a bilinear attention network with domain adaptation T Xu, H Shi, W Gao, X Wang, Z Yue Nature Machine Intelligence 6 (4), 461-466, 2024 | 4 | 2024 |
| Crop-GPA: an integrated platform of crop gene-phenotype associations Y Gao, Q Zhou, J Luo, C Xia, Y Zhang, Z Yue npj Systems Biology and Applications 10 (1), 15, 2024 | 4 | 2024 |
| Prediction of hot spots in protein–DNA binding interfaces based on discrete wavelet transform and wavelet packet transform Y Sun, H Wu, Z Xu, Z Yue, K Li BMC bioinformatics 24 (1), 129, 2023 | 4 | 2023 |
| GRA-GCN: dense granule protein prediction in Apicomplexa protozoa through graph convolutional network H Shi, H Feng, Z Lu, W Xue, C Yang, Z Yue IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (3 …, 2022 | 4 | 2022 |
| Pharmacogenomic cluster analysis of lung cancer cell lines provides insights into preclinical model selection in NSCLC Y Shen, Y Xiang, X Huang, Y Zhang, Z Yue Interdisciplinary Sciences: Computational Life Sciences 14 (3), 712-721, 2022 | 3 | 2022 |
| DGPD: a knowledge database of dense granule proteins of the Apicomplexa H Hu, Z Lu, H Feng, G Chen, Y Wang, C Yang, Z Yue Database 2022, baac085, 2022 | 3 | 2022 |
