| Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations Z Duren, X Chen, M Zamanighomi, W Zeng, AT Satpathy, HY Chang, ... Proceedings of the National Academy of Sciences 115 (30), 7723-7728, 2018 | 155 | 2018 |
| Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding X Min, W Zeng, N Chen, T Chen, R Jiang Bioinformatics 33 (14), i92-i101, 2017 | 111 | 2017 |
| Predicting enhancers with deep convolutional neural networks X Min*, W Zeng*, S Chen, N Chen, T Chen, R Jiang BMC bioinformatics 18 (13), 35-46, 2017 | 97 | 2017 |
| Prediction of enhancer-promoter interactions via natural language processing W Zeng, M Wu, R Jiang BMC genomics 19, 13-22, 2018 | 86 | 2018 |
| DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data W Zeng, X Chen, Z Duren, Y Wang, R Jiang, WH Wong Nature communications 10 (1), 4613, 2019 | 66 | 2019 |
| Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network W Zeng, Y Wang, R Jiang Bioinformatics 36 (2), 496-503, 2020 | 54 | 2020 |
| 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 | 37 | 2023 |
| SilencerDB: a comprehensive database of silencers W Zeng, S Chen, X Cui, X Chen, Z Gao, R Jiang Nucleic acids research 49 (D1), D221-D228, 2021 | 34 | 2021 |
| dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictions J Wu, M Wu, L Li, Z Liu, W Zeng, R Jiang Database 2016, baw024, 2016 | 27 | 2016 |
| 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 | 26* | 2023 |
| Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning M Wu, W Zeng, W Liu, H Lv, T Chen, R Jiang Methods 145, 41-50, 2018 | 19 | 2018 |
| EnDisease: a manually curated database for enhancer-disease associations W Zeng, X Min, R Jiang Database 2019, baz020, 2019 | 15 | 2019 |
| IRIS: A method for predicting in vivo RNA secondary structures using PARIS data J Zhou, P Li, W Zeng, W Ma, Z Lu, R Jiang, Q Cliff Zhang, T Jiang Quantitative Biology 8 (4), 369-381, 2020 | 10 | 2020 |
| 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 | 9 | 2023 |
| 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 | 9 | 2022 |
| Mimvec: a deep learning approach for analyzing the human phenome M Gan, W Li, W Zeng, X Wang, R Jiang BMC systems biology 11, 3-16, 2017 | 8 | 2017 |
| HiChIPdb: a comprehensive database of HiChIP regulatory interactions W Zeng, Q Liu, Q Yin, R Jiang, WH Wong Nucleic acids research 51 (D1), D159-D166, 2023 | 7 | 2023 |
| Reusability report: compressing regulatory networks to vectors for interpreting gene expression and genetic variants W Zeng, J Xin, R Jiang, Y Wang Nature Machine Intelligence 3 (7), 576-580, 2021 | 3 | 2021 |
| Modeling the Causal Mechanism between Genotypes and Phenotypes using Large-Scale Biobank Data and Context-Specific Regulatory Networks W Li*, W Zeng*, WH Wong Cybernetics and Intelligence, 2023 | | 2023 |
| EpiGePT: a Pretrained Transformer model for epigenomics Z Gao, Q Liu, W Zeng, WH Wong, R Jiang bioRxiv, 2023 | | 2023 |
Rui JiangTsinghua UniversityПотвърден имейл адрес: tsinghua.edu.cn
