Aoyun Geng
Orcid: 0009-0004-9716-9415
According to our database1,
Aoyun Geng authored at least 10 papers
between 2024 and 2026.
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Bibliography
2026
DeepNhKcr: Explainable Deep Learning Framework for the Prediction of Crotonylation Sites of Non-Histone Lysine in Plants Based on Pre-Trained Protein Language Model.
IEEE Trans. Comput. Biol. Bioinform., 2026
CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction.
Neural Networks, 2026
Protein Solubility Prediction Using Fused Graph Convolutional Networks and Improved Attention Networks with AlphaFold3-Derived Features.
J. Chem. Inf. Model., 2026
TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
DeepMaT: Prediction of Target Peptide Classification and Cleavage Site by Combining Mamba2 and Multiple Attention Mechanisms.
J. Chem. Inf. Model., 2025
AcidProNet: Acidophilic Protein Classification via DCGAN-GP-Based Data Augmentation and Parameter-Shared Mixture-of-Experts Transformer.
J. Chem. Inf. Model., 2025
AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction.
J. Chem. Inf. Model., 2025
ACP-CLB: An Anticancer Peptide Prediction Model Based on Multichannel Discriminative Processing and Integration of Large Pretrained Protein Language Models.
J. Chem. Inf. Model., 2025
RTCDB: A Multi-Omics Database Supporting Research and Discovery in Rare Tumor Oncology.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides.
Briefings Bioinform., November, 2024