| SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting B Yu, W Qiu, C Chen, A Ma, J Jiang, H Zhou, Q Ma Bioinformatics 36 (4), 1074-1081, 2020 | 155 | 2020 |
| scREAD: a single-cell RNA-Seq database for Alzheimer's disease J Jiang, C Wang, R Qi, H Fu, Q Ma Iscience 23 (11), 2020 | 89 | 2020 |
| RicyerDB: a database for collecting rice yield-related genes with biological analysis J Jiang, F Xing, X Zeng, Q Zou International Journal of Biological Sciences 14 (8), 965, 2018 | 25 | 2018 |
| Causal inference for the effect of environmental chemicals on chronic kidney disease J Zhao, P Hinton, J Chen, J Jiang Computational and structural biotechnology journal 18, 93-99, 2020 | 23 | 2020 |
| Unraveling the characteristics of microRNA regulation in the developmental and aging process of the human brain W Li, L Chen, W Li, X Qu, W He, Y He, C Feng, X Jia, Y Zhou, J Lv, ... BMC Medical Genomics 6, 1-11, 2013 | 18 | 2013 |
| Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder J Jiang, J Xu, Y Liu, B Song, X Guo, X Zeng, Q Zou Briefings in Bioinformatics 24 (3), bbad152, 2023 | 17 | 2023 |
| Investigation and development of maize fused network analysis with multi-omics J Jiang, F Xing, C Wang, X Zeng, Q Zou Plant Physiology and Biochemistry 141, 380-387, 2019 | 16 | 2019 |
| Identification of potential COPD genes based on multi-omics data at the functional level Z Liu, W Li, J Lv, R Xie, H Huang, Y Li, Y He, J Jiang, B Chen, S Guo, ... Molecular BioSystems 12 (1), 191-204, 2016 | 12 | 2016 |
| Identification and analysis of rice yield-related candidate genes by walking on the functional network J Jiang, F Xing, C Wang, X Zeng Frontiers in plant science 9, 1685, 2018 | 8 | 2018 |
| Identification of polycystic ovary syndrome potential drug targets based on pathobiological similarity in the protein-protein interaction network H Huang, Y He, W Li, W Wei, Y Li, R Xie, S Guo, Y Wang, J Jiang, B Chen, ... Oncotarget 7 (25), 37906, 2016 | 7 | 2016 |
| Predict the relationship between gene and large yellow croaker’s economic traits X Zeng, S Jin, J Jiang, K Han, X Min, X Liu Molecules 22 (11), 1978, 2017 | 6 | 2017 |
| Investigating maize yield-related genes in multiple omics interaction network data J Jiang, F Xing, X Zeng, Q Zou IEEE Transactions on Nanobioscience 19 (1), 142-151, 2019 | 5 | 2019 |
| A novel prioritization method in identifying recurrent venous thromboembolism-related genes J Jiang, W Li, B Liang, R Xie, B Chen, H Huang, Y Li, Y He, J Lv, W He, ... PloS one 11 (4), e0153006, 2016 | 4 | 2016 |
| Identifying progression related disease risk modules based on the human subcellular signaling networks R Xie, H Huang, W Li, B Chen, J Jiang, Y He, J Lv, Y Zhou, C Feng, ... Molecular BioSystems 10 (12), 3298-3309, 2014 | 3 | 2014 |
| Identification of potential drug targets based on a computational biology algorithm for venous thromboembolism R Xie, L Li, L Chen, W Li, B Chen, J Jiang, H Huang, Y Li, Y He, J Lv, ... International Journal of Molecular Medicine 39 (2), 463-471, 2017 | 1 | 2017 |
