| 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 | 47 | 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, ... Nucleic acids research 51 (7), 3017-3029, 2023 | 40 | 2023 |
| Predicting protein–peptide binding residues via interpretable deep learning R Wang, J Jin, Q Zou, K Nakai, L Wei Bioinformatics 38 (13), 3351-3360, 2022 | 35 | 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 | 22 | 2023 |
| AttenSyn: an attention-based deep graph neural network for anticancer synergistic drug combination prediction T Wang, R Wang, L Wei Journal of Chemical Information and Modeling, 2023 | 9 | 2023 |
| CACPP: a contrastive learning-based Siamese network to identify anticancer peptides based on sequence only X Yang, J Jin, R Wang, Z Li, Y Wang, L Wei Journal of Chemical Information and Modeling, 2023 | 8 | 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 | 6 | 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 | 4 | 2023 |
| 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 | 2 | 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 |
| NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection C Yin, R Wang, J Qiao, H Shi, H Duan, X Jiang, S Teng, L Wei Bioinformatics 40 (2), btae046, 2024 | | 2024 |
| MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins J Zhang, R Wang, L Wei Journal of Chemical Information and Modeling, 2024 | | 2024 |
| DenoiseST: A dual-channel unsupervised deep learning-based denoising method to identify spatial domains and functionally variable genes in spatial transcriptomics Y Cui, R Wang, X Zeng, Y Cui, Z Zhu, K Nakai, X Ye, T Sakurai, L Wei bioRxiv, 2024.03. 04.583438, 2024 | | 2024 |
| Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design H Yu, R Wang, J Qiao, L Wei Journal of Chemical Information and Modeling 64 (1), 316-326, 2023 | | 2023 |
| Multi-Level Contrastive Learning for Protein-Ligand Binding Residue Prediction J Zhang, R Wang, L Wei bioRxiv, 2023.12. 06.570503, 2023 | | 2023 |
| PHAT: interpretable prediction of peptide secondary structures using hypergraph multi-head attention network and transfer learning Y Jiang, R Wang, J Feng, J Jin, S Liang, Z Li, Y Yu, A Ma, R Su, Q Zou, ... bioRxiv, 2022.06. 09.495580, 2022 | | 2022 |
Leyi WEIProfessor, School of Software, Shandong UniversityVerified email at sdu.edu.cn
