| DeepCDR: a hybrid graph convolutional network for predicting cancer drug response Q Liu, Z Hu, R Jiang, M Zhou Bioinformatics 36 (Supplement_2), i911-i918, 2020 | 142 | 2020 |
| Density estimation using deep generative neural networks Q Liu, J Xu, R Jiang, WH Wong Proceedings of the National Academy of Sciences 118 (15), e2101344118, 2021 | 102 | 2021 |
| Simultaneous deep generative modelling and clustering of single-cell genomic data Q Liu, S Chen, R Jiang, WH Wong Nature machine intelligence 3 (6), 536-544, 2021 | 75 | 2021 |
| hicGAN infers super resolution Hi-C data with generative adversarial networks Q Liu, H Lv, R Jiang Bioinformatics 35 (14), i99-i107, 2019 | 71 | 2019 |
| Chromatin accessibility prediction via a hybrid deep convolutional neural network Q Liu, F Xia, Q Yin, R Jiang Bioinformatics 34 (5), 732-738, 2018 | 69 | 2018 |
| DeepHistone: a deep learning approach to predicting histone modifications Q Yin, M Wu, Q Liu, H Lv, R Jiang BMC genomics 20, 11-23, 2019 | 66 | 2019 |
| Multimodal single cell data integration challenge: results and lessons learned C Lance, MD Luecken, DB Burkhardt, R Cannoodt, P Rautenstrauch, ... BioRxiv, 2022.04. 11.487796, 2022 | 50 | 2022 |
| Applications of transformer-based language models in bioinformatics: a survey S Zhang, R Fan, Y Liu, S Chen, Q Liu, W Zeng Bioinformatics Advances 3 (1), vbad001, 2023 | 49 | 2023 |
| Protein folding optimization based on 3D off-lattice model via an improved artificial bee colony algorithm B Li, M Lin, Q Liu, Y Li, C Zhou Journal of molecular modeling 21, 1-15, 2015 | 35 | 2015 |
| Feature-enhanced graph networks for genetic mutational prediction using histopathological images in colon cancer K Ding, Q Liu, E Lee, M Zhou, A Lu, S Zhang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 31 | 2020 |
| Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG Z Duren, F Chang, F Naqing, J Xin, Q Liu, WH Wong Genome biology 23 (1), 114, 2022 | 23 | 2022 |
| Deepdrug: a general graph‐based deep learning framework for drug‐drug interactions and drug‐target interactions prediction Q Yin, R Fan, X Cao, Q Liu, R Jiang, W Zeng Quantitative Biology 11 (3), 260-274, 2023 | 21 | 2023 |
| Graph convolutional networks for multi-modality medical imaging: Methods, architectures, and clinical applications K Ding, M Zhou, Z Wang, Q Liu, CW Arnold, S Zhang, DN Metaxas arXiv preprint arXiv:2202.08916, 2022 | 21 | 2022 |
| Reinforced molecular optimization with neighborhood-controlled grammars C Xu, Q Liu, M Huang, T Jiang Advances in neural information processing systems 33, 8366-8377, 2020 | 20 | 2020 |
| OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions S Chen, Q Liu, X Cui, Z Feng, C Li, X Wang, X Zhang, Y Wang, R Jiang Nucleic Acids Research 49 (W1), W483-W490, 2021 | 19 | 2021 |
| DualGCN: a dual graph convolutional network model to predict cancer drug response T Ma, Q Liu, H Li, M Zhou, R Jiang, X Zhang BMC bioinformatics 23 (Suppl 4), 129, 2022 | 17 | 2022 |
| Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring S Li, W Zeng, X Ni, Q Liu, W Li, ML Stackpole, Y Zhou, A Gower, K Krysan, ... Proceedings of the National Academy of Sciences 120 (28), e2305236120, 2023 | 16 | 2023 |
| A sequence-based method to predict the impact of regulatory variants using random forest Q Liu, M Gan, R Jiang BMC Systems Biology 11, 1-9, 2017 | 15 | 2017 |
| scGraph: a graph neural network-based approach to automatically identify cell types Q Yin, Q Liu, Z Fu, W Zeng, B Zhang, X Zhang, R Jiang, H Lv Bioinformatics 38 (11), 2996-3003, 2022 | 11 | 2022 |
| Deep generative modeling and clustering of single cell Hi-C data Q Liu, W Zeng, W Zhang, S Wang, H Chen, R Jiang, M Zhou, S Zhang Briefings in Bioinformatics 24 (1), bbac494, 2023 | 10 | 2023 |
Rui JiangTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
