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 |
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 | 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 |
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 |
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning X Zhang, L Wei, X Ye, K Zhang, S Teng, Z Li, J Jin, MJ Kim, T Sakurai, ... Briefings in Bioinformatics 24 (1), bbac545, 2023 | 8 | 2023 |
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides Z Li, J Jin, Y Wang, W Long, Y Ding, H Hu, L Wei Bioinformatics 39 (3), btad108, 2023 | 5 | 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 |
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptides Z Li, J Jin, W He, W Long, H Yu, X Gao, K Nakai, Q Zou, L Wei Briefings in Bioinformatics 24 (6), bbad352, 2023 | 3 | 2023 |
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model Z Li, J Jin, W Long, L Wei Computers in Biology and Medicine 164, 107260, 2023 | 3 | 2023 |
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides D Wang, J Jin, Z Li, Y Wang, M Fan, S Liang, R Su, L Wei Bioinformatics 40 (2), btae057, 2024 | 1 | 2024 |