| DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis R Wang, Y Jiang, J Jin, C Yin, H Yu, F Wang, J Feng, R Su, K Nakai, ... Nucleic acids research 51 (7), 3017-3029, 2023 | 64 | 2023 |
| iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations J Jin, Y Yu, R Wang, X Zeng, C Pang, Y Jiang, Z Li, Y Dai, R Su, Q Zou, ... Genome biology 23 (1), 219, 2022 | 63 | 2022 |
| Accelerating bioactive peptide discovery via mutual information-based meta-learning W He, Y Jiang, J Jin, Z Li, J Zhao, B Manavalan, R Su, X Gao, L Wei Briefings in bioinformatics 23 (1), bbab499, 2022 | 37 | 2022 |
| Explainable deep hypergraph learning modeling the peptide secondary structure prediction Y Jiang, R Wang, J Feng, J Jin, S Liang, Z Li, Y Yu, A Ma, R Su, Q Zou, ... Advanced Science 10 (11), 2206151, 2023 | 34 | 2023 |
| AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning Y Fang, F Xu, L Wei, Y Jiang, J Chen, L Wei, DQ Wei Briefings in Bioinformatics 24 (1), bbac606, 2023 | 26 | 2023 |
| scIMC: a platform for benchmarking comparison and visualization analysis of scRNA-seq data imputation methods C Dai, Y Jiang, C Yin, R Su, X Zeng, Q Zou, K Nakai, L Wei Nucleic Acids Research 50 (9), 4877-4899, 2022 | 20 | 2022 |
| DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model Y Fang, Y Jiang, L Wei, Q Ma, Z Ren, Q Yuan, DQ Wei Bioinformatics 39 (12), btad718, 2023 | 15 | 2023 |
| ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy Q Wei, R Wang, Y Jiang, L Wei, Y Sun, J Geng, R Su Computers in Biology and Medicine 167, 107631, 2023 | 8 | 2023 |
| MVIL6: Accurate identification of IL-6-induced peptides using multi-view feature learning R Wang, Y Feng, M Sun, Y Jiang, Z Li, L Cui, L Wei International Journal of Biological Macromolecules 246, 125412, 2023 | 7 | 2023 |
| MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning Y Wang, C Pang, Y Wang, Y Jiang, J Jin, S Liang, Q Zou, L Wei arXiv preprint arXiv:2210.02630, 2022 | 5 | 2022 |
| Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery C Pang, Y Wang, Y Jiang, R Wang, R Su, L Wei arXiv preprint arXiv:2212.01575, 2022 | 3 | 2022 |
| DeepBIO: An automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation, and visualization analysis R Wang, Y Jiang, J Jin, C Yin, H Yu, F Wang, J Feng, R Su, K Nakai, ... bioRxiv, 2022.09. 29.509859, 2022 | 2 | 2022 |
| Explainable deep graph learning accurately modeling the peptide secondary structure prediction Y Jiang, R Wang, J Feng, J Jin, S Liang, Z Li, Y Yu, A Ma, R Su, Q Zou, ... | 2 | 2022 |
| Harnessing the deep learning power of foundation models in single-cell omics Q Ma, Y Jiang, H Cheng, D Xu Nature Reviews Molecular Cell Biology, 1-2, 2024 | 1 | 2024 |
| Graph Fourier transform for spatial omics representation and analyses of complex organs Y Chang, J Liu, Y Jiang, A Ma, YY Yeo, Q Guo, M McNutt, JE Krull, ... Nature Communications 15 (1), 7467, 2024 | | 2024 |
| Delineating lymphocyte aggregates from tertiary lymphoid structures using spatial transcriptomics J Krull, A Byappanahalli, Y Jiang, A Gunderson, Q Ma Cancer Research 84 (6_Supplement), 4879-4879, 2024 | | 2024 |
| TearsWaiting/MIMML: The implement of MIMML in paper: Accelerating Bioactive Peptides Discovery via Mutual Information based Meta-learning W He, Y Jiang, J Jin, Z Li, J Zhao, B Manavalan, R Su, X Gao, L Wei Github, 2021 | | 2021 |
Leyi WEIProfessor, School of Software, Shandong UniversityVerified email at sdu.edu.cn
