| DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learning W Li, WH Wong, R Jiang Nucleic acids research 47 (10), e60-e60, 2019 | 113 | 2019 |
| A method for scoring the cell type-specific impacts of noncoding variants in personal genomes W Li, Z Duren, R Jiang, WH Wong Proceedings of the National Academy of Sciences 117 (35), 21364-21372, 2020 | 15 | 2020 |
| Gene co-opening network deciphers gene functional relationships W Li, M Wang, J Sun, Y Wang, R Jiang Molecular BioSystems 13 (11), 2428-2439, 2017 | 11 | 2017 |
| 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 |
| Associating divergent lncRNAs with target genes by integrating genome sequence, gene expression and chromatin accessibility data Y Wang, S Chen, W Li, R Jiang, Y Wang NAR Genomics and Bioinformatics 2 (2), lqaa019, 2020 | 6 | 2020 |
| EnContact: predicting enhancer-enhancer contacts using sequence-based deep learning model M Gan, W Li, R Jiang PeerJ 7, e7657, 2019 | 5 | 2019 |
| DNA methylation age acceleration contributes to the development and prediction of non-alcoholic fatty liver disease M Xia, W Li, H Lin, H Zeng, S Ma, Q Wu, H Ma, X Li, B Pan, J Gao, Y Hu, ... GeroScience, 1-18, 2023 | 3 | 2023 |
| Validation of three European risk scores to predict long-term outcomes for patients receiving cardiac resynchronization therapy in an Asian population S Yang, Z Liu, W Li, Y Hu, S Liu, R Jing, W Hua Journal of Cardiovascular Translational Research 14, 754-760, 2021 | 3 | 2021 |
| Comparative analysis of models in predicting the effects of SNPs on TF-DNA binding using large-scale in vitro and in vivo data D Han, Y Li, L Wang, X Liang, Y Miao, W Li, S Wang, Z Wang Briefings in Bioinformatics 25 (2), bbae110, 2024 | 2 | 2024 |
| Epigenome-wide association study on short-, intermediate-and long-term ozone exposure in Han Chinese, the NSPT study X Cai, K Li, X Meng, Q Song, S Shi, W Li, Y Niu, L Jin, H Kan, S Wang Journal of Hazardous Materials 463, 132780, 2024 | 2 | 2024 |
| DeepTACT: predicting high-resolution chromatin contacts via bootstrapping deep learning W Li, WH Wong, R Jiang bioRxiv, 353284, 2018 | 2 | 2018 |
| Analysis of blood methylation quantitative trait loci in East Asians reveals ancestry-specific impacts on complex traits Q Peng, X Liu, W Li, H Jing, J Li, X Gao, Q Luo, CE Breeze, S Pan, ... Nature Genetics, 1-15, 2024 | 1 | 2024 |
| Longitudinal analysis of epigenome-wide DNA methylation reveals novel loci associated with BMI change in East Asians W Li, M Xia, H Zeng, H Lin, AE Teschendorff, X Gao, S Wang Clinical Epigenetics 16 (1), 70, 2024 | | 2024 |
| 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, 2024 | | 2024 |
| Seq-RBPPred: Predicting RNA-Binding Proteins from Sequence Y Yan, W Li, S Wang, T Huang ACS omega 9 (11), 12734-12742, 2024 | | 2024 |
| Comprehensive mechanistic characterization of mQTLs in an Asian population S Wang, Q Peng, X Liu, H Jing, W Li, X Gao, Q Luo, C Breeze, J Li, S Pan, ... | | 2021 |
Rui JiangTsinghua UniversityVerified email at tsinghua.edu.cn
